Overview

Dataset statistics

Number of variables120
Number of observations1860764
Missing cells76023322
Missing cells (%)34.0%
Total size in memory1.8 GiB
Average record size in memory1.0 KiB

Variable types

Numeric92
Categorical27
DateTime1

Alerts

int_rate has a high cardinality: 684 distinct valuesHigh cardinality
emp_title has a high cardinality: 456736 distinct valuesHigh cardinality
title has a high cardinality: 61685 distinct valuesHigh cardinality
zip_code has a high cardinality: 949 distinct valuesHigh cardinality
addr_state has a high cardinality: 51 distinct valuesHigh cardinality
earliest_cr_line has a high cardinality: 763 distinct valuesHigh cardinality
last_credit_pull_d has a high cardinality: 158 distinct valuesHigh cardinality
sec_app_earliest_cr_line has a high cardinality: 638 distinct valuesHigh cardinality
title is highly imbalanced (78.2%)Imbalance
application_type is highly imbalanced (77.0%)Imbalance
hardship_flag is highly imbalanced (99.0%)Imbalance
hardship_type is highly imbalanced (56.1%)Imbalance
debt_settlement_flag is highly imbalanced (81.8%)Imbalance
emp_title has 131528 (7.1%) missing valuesMissing
emp_length has 117260 (6.3%) missing valuesMissing
title has 21406 (1.2%) missing valuesMissing
mths_since_last_delinq has 945315 (50.8%) missing valuesMissing
mths_since_last_record has 1552139 (83.4%) missing valuesMissing
next_pymnt_d has 1860331 (> 99.9%) missing valuesMissing
mths_since_last_major_derog has 1374714 (73.9%) missing valuesMissing
annual_inc_joint has 1791229 (96.3%) missing valuesMissing
dti_joint has 1791232 (96.3%) missing valuesMissing
verification_status_joint has 1793425 (96.4%) missing valuesMissing
tot_coll_amt has 67527 (3.6%) missing valuesMissing
tot_cur_bal has 67527 (3.6%) missing valuesMissing
open_acc_6m has 846444 (45.5%) missing valuesMissing
open_act_il has 846443 (45.5%) missing valuesMissing
open_il_12m has 846443 (45.5%) missing valuesMissing
open_il_24m has 846443 (45.5%) missing valuesMissing
mths_since_rcnt_il has 875459 (47.0%) missing valuesMissing
total_bal_il has 846443 (45.5%) missing valuesMissing
il_util has 988570 (53.1%) missing valuesMissing
open_rv_12m has 846443 (45.5%) missing valuesMissing
open_rv_24m has 846443 (45.5%) missing valuesMissing
max_bal_bc has 846443 (45.5%) missing valuesMissing
all_util has 846582 (45.5%) missing valuesMissing
total_rev_hi_lim has 67527 (3.6%) missing valuesMissing
inq_fi has 846443 (45.5%) missing valuesMissing
total_cu_tl has 846444 (45.5%) missing valuesMissing
inq_last_12m has 846444 (45.5%) missing valuesMissing
acc_open_past_24mths has 47281 (2.5%) missing valuesMissing
avg_cur_bal has 67572 (3.6%) missing valuesMissing
bc_open_to_buy has 67751 (3.6%) missing valuesMissing
bc_util has 68766 (3.7%) missing valuesMissing
mo_sin_old_il_acct has 121143 (6.5%) missing valuesMissing
mo_sin_old_rev_tl_op has 67528 (3.6%) missing valuesMissing
mo_sin_rcnt_rev_tl_op has 67528 (3.6%) missing valuesMissing
mo_sin_rcnt_tl has 67527 (3.6%) missing valuesMissing
mort_acc has 47281 (2.5%) missing valuesMissing
mths_since_recent_bc has 66456 (3.6%) missing valuesMissing
mths_since_recent_bc_dlq has 1424835 (76.6%) missing valuesMissing
mths_since_recent_inq has 231502 (12.4%) missing valuesMissing
mths_since_recent_revol_delinq has 1242944 (66.8%) missing valuesMissing
num_accts_ever_120_pd has 67527 (3.6%) missing valuesMissing
num_actv_bc_tl has 67527 (3.6%) missing valuesMissing
num_actv_rev_tl has 67527 (3.6%) missing valuesMissing
num_bc_sats has 55841 (3.0%) missing valuesMissing
num_bc_tl has 67527 (3.6%) missing valuesMissing
num_il_tl has 67527 (3.6%) missing valuesMissing
num_op_rev_tl has 67527 (3.6%) missing valuesMissing
num_rev_accts has 67528 (3.6%) missing valuesMissing
num_rev_tl_bal_gt_0 has 67527 (3.6%) missing valuesMissing
num_sats has 55841 (3.0%) missing valuesMissing
num_tl_120dpd_2m has 135637 (7.3%) missing valuesMissing
num_tl_30dpd has 67527 (3.6%) missing valuesMissing
num_tl_90g_dpd_24m has 67527 (3.6%) missing valuesMissing
num_tl_op_past_12m has 67527 (3.6%) missing valuesMissing
pct_tl_nvr_dlq has 67681 (3.6%) missing valuesMissing
percent_bc_gt_75 has 68191 (3.7%) missing valuesMissing
tot_hi_cred_lim has 67527 (3.6%) missing valuesMissing
total_bal_ex_mort has 47281 (2.5%) missing valuesMissing
total_bc_limit has 47281 (2.5%) missing valuesMissing
total_il_high_credit_limit has 67527 (3.6%) missing valuesMissing
revol_bal_joint has 1802095 (96.8%) missing valuesMissing
sec_app_fico_range_low has 1802094 (96.8%) missing valuesMissing
sec_app_fico_range_high has 1802094 (96.8%) missing valuesMissing
sec_app_earliest_cr_line has 1802094 (96.8%) missing valuesMissing
sec_app_inq_last_6mths has 1802094 (96.8%) missing valuesMissing
sec_app_mort_acc has 1802094 (96.8%) missing valuesMissing
sec_app_open_acc has 1802094 (96.8%) missing valuesMissing
sec_app_revol_util has 1803076 (96.9%) missing valuesMissing
sec_app_open_act_il has 1802094 (96.8%) missing valuesMissing
sec_app_num_rev_accts has 1802094 (96.8%) missing valuesMissing
sec_app_chargeoff_within_12_mths has 1802094 (96.8%) missing valuesMissing
sec_app_collections_12_mths_ex_med has 1802094 (96.8%) missing valuesMissing
hardship_type has 1848057 (99.3%) missing valuesMissing
hardship_reason has 1848056 (99.3%) missing valuesMissing
hardship_status has 1848057 (99.3%) missing valuesMissing
deferral_term has 1848057 (99.3%) missing valuesMissing
hardship_amount has 1838650 (98.8%) missing valuesMissing
hardship_start_date has 1848057 (99.3%) missing valuesMissing
hardship_end_date has 1848057 (99.3%) missing valuesMissing
payment_plan_start_date has 1848057 (99.3%) missing valuesMissing
hardship_length has 1848057 (99.3%) missing valuesMissing
hardship_dpd has 1848057 (99.3%) missing valuesMissing
hardship_loan_status has 1848068 (99.3%) missing valuesMissing
orig_projected_additional_accrued_interest has 1841486 (99.0%) missing valuesMissing
hardship_payoff_balance_amount has 1838650 (98.8%) missing valuesMissing
hardship_last_payment_amount has 1838650 (98.8%) missing valuesMissing
annual_inc is highly skewed (γ1 = 521.6860298)Skewed
dti is highly skewed (γ1 = 29.66055995)Skewed
annual_inc_joint is highly skewed (γ1 = 21.21890058)Skewed
acc_now_delinq is highly skewed (γ1 = 21.76921297)Skewed
tot_coll_amt is highly skewed (γ1 = 778.2900224)Skewed
total_rev_hi_lim is highly skewed (γ1 = 38.76993061)Skewed
delinq_amnt is highly skewed (γ1 = 96.64892152)Skewed
num_tl_120dpd_2m is highly skewed (γ1 = 47.16139638)Skewed
num_tl_30dpd is highly skewed (γ1 = 21.67442665)Skewed
tax_liens is highly skewed (γ1 = 33.06942152)Skewed
delinq_2yrs has 1508234 (81.1%) zerosZeros
inq_last_6mths has 1100425 (59.1%) zerosZeros
pub_rec has 1552809 (83.5%) zerosZeros
collections_12_mths_ex_med has 1830317 (98.4%) zerosZeros
acc_now_delinq has 1852801 (99.6%) zerosZeros
tot_coll_amt has 1517329 (81.5%) zerosZeros
open_acc_6m has 431679 (23.2%) zerosZeros
open_act_il has 116519 (6.3%) zerosZeros
open_il_12m has 522571 (28.1%) zerosZeros
open_il_24m has 250623 (13.5%) zerosZeros
total_bal_il has 111139 (6.0%) zerosZeros
open_rv_12m has 353162 (19.0%) zerosZeros
open_rv_24m has 149809 (8.1%) zerosZeros
max_bal_bc has 27606 (1.5%) zerosZeros
inq_fi has 487467 (26.2%) zerosZeros
total_cu_tl has 535499 (28.8%) zerosZeros
inq_last_12m has 263785 (14.2%) zerosZeros
acc_open_past_24mths has 74489 (4.0%) zerosZeros
bc_open_to_buy has 27132 (1.5%) zerosZeros
bc_util has 23449 (1.3%) zerosZeros
chargeoff_within_12_mths has 1846057 (99.2%) zerosZeros
delinq_amnt has 1854345 (99.7%) zerosZeros
mo_sin_rcnt_rev_tl_op has 28167 (1.5%) zerosZeros
mo_sin_rcnt_tl has 29156 (1.6%) zerosZeros
mort_acc has 748158 (40.2%) zerosZeros
mths_since_recent_inq has 144935 (7.8%) zerosZeros
num_accts_ever_120_pd has 1373922 (73.8%) zerosZeros
num_actv_bc_tl has 41482 (2.2%) zerosZeros
num_bc_sats has 19402 (1.0%) zerosZeros
num_il_tl has 53736 (2.9%) zerosZeros
num_tl_120dpd_2m has 1723948 (92.6%) zerosZeros
num_tl_30dpd has 1788004 (96.1%) zerosZeros
num_tl_90g_dpd_24m has 1694150 (91.0%) zerosZeros
num_tl_op_past_12m has 315076 (16.9%) zerosZeros
percent_bc_gt_75 has 478780 (25.7%) zerosZeros
pub_rec_bankruptcies has 1629217 (87.6%) zerosZeros
tax_liens has 1804142 (97.0%) zerosZeros
total_bc_limit has 20910 (1.1%) zerosZeros
total_il_high_credit_limit has 214223 (11.5%) zerosZeros
sec_app_inq_last_6mths has 33743 (1.8%) zerosZeros
sec_app_mort_acc has 22120 (1.2%) zerosZeros
sec_app_chargeoff_within_12_mths has 57076 (3.1%) zerosZeros
sec_app_collections_12_mths_ex_med has 55186 (3.0%) zerosZeros
target has 1727014 (92.8%) zerosZeros

Reproduction

Analysis started2023-05-09 17:14:07.685988
Analysis finished2023-05-09 17:16:09.660390
Duration2 minutes and 1.97 second
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

loan_amnt
Real number (ℝ)

Distinct1568
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14588.6461
Minimum500
Maximum40000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:09.749337image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile3025
Q17950
median12000
Q320000
95-th percentile35000
Maximum40000
Range39500
Interquartile range (IQR)12050

Descriptive statistics

Standard deviation8970.802132
Coefficient of variation (CV)0.6149167009
Kurtosis-0.06006881421
Mean14588.6461
Median Absolute Deviation (MAD)6000
Skewness0.8005137187
Sum2.714602748 × 1010
Variance80475290.88
MonotonicityNot monotonic
2023-05-09T20:16:09.842813image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 145253
 
7.8%
20000 100493
 
5.4%
12000 98949
 
5.3%
15000 97788
 
5.3%
5000 70248
 
3.8%
35000 69115
 
3.7%
8000 64917
 
3.5%
6000 61955
 
3.3%
16000 51959
 
2.8%
25000 50006
 
2.7%
Other values (1558) 1050081
56.4%
ValueCountFrequency (%)
500 5
< 0.1%
700 1
 
< 0.1%
725 1
 
< 0.1%
750 1
 
< 0.1%
800 1
 
< 0.1%
ValueCountFrequency (%)
40000 18477
1.0%
39975 11
 
< 0.1%
39950 5
 
< 0.1%
39925 6
 
< 0.1%
39900 14
 
< 0.1%

term
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
36 months
1393606 
60 months
467158 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 36 months
2nd row 60 months
3rd row 36 months
4th row 36 months
5th row 60 months

Common Values

ValueCountFrequency (%)
36 months 1393606
74.9%
60 months 467158
 
25.1%

Common Values (Plot)

2023-05-09T20:16:09.925554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

int_rate
Categorical

Distinct684
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
11.99%
 
42794
10.99%
 
42601
5.32%
 
41815
13.99%
 
38503
11.49%
 
30640
Other values (679)
1664411 

Unique

Unique20 ?
Unique (%)< 0.1%

Sample

1st row 10.65%
2nd row 15.27%
3rd row 15.96%
4th row 13.49%
5th row 12.69%

Common Values

ValueCountFrequency (%)
11.99% 42794
 
2.3%
10.99% 42601
 
2.3%
5.32% 41815
 
2.2%
13.99% 38503
 
2.1%
11.49% 30640
 
1.6%
16.99% 28509
 
1.5%
12.99% 28413
 
1.5%
7.89% 27518
 
1.5%
9.17% 27105
 
1.5%
15.61% 24548
 
1.3%
Other values (674) 1528318
82.1%

installment
Real number (ℝ)

Distinct90813
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.268859
Minimum4.93
Maximum1719.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:09.992551image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum4.93
5-th percentile106.72
Q1246.99
median373.63
Q3584.96
95-th percentile981.45
Maximum1719.83
Range1714.9
Interquartile range (IQR)337.97

Descriptive statistics

Standard deviation266.9215714
Coefficient of variation (CV)0.6062694783
Kurtosis0.7395860093
Mean440.268859
Median Absolute Deviation (MAD)157.52
Skewness1.018494265
Sum819236443.1
Variance71247.12529
MonotonicityNot monotonic
2023-05-09T20:16:10.073386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301.15 3875
 
0.2%
332.1 3417
 
0.2%
327.34 3345
 
0.2%
361.38 3159
 
0.2%
451.73 2749
 
0.1%
602.3 2748
 
0.1%
329.72 2600
 
0.1%
318.79 2302
 
0.1%
392.81 2213
 
0.1%
312.86 2193
 
0.1%
Other values (90803) 1832163
98.5%
ValueCountFrequency (%)
4.93 1
< 0.1%
7.61 1
< 0.1%
14.01 1
< 0.1%
14.77 1
< 0.1%
15.69 1
< 0.1%
ValueCountFrequency (%)
1719.83 2
 
< 0.1%
1717.63 1
 
< 0.1%
1715.42 2
 
< 0.1%
1714.54 5
< 0.1%
1691.28 2
 
< 0.1%

sub_grade
Categorical

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
C1
 
118968
B5
 
116612
B4
 
115840
B3
 
109932
C2
 
108132
Other values (30)
1291280 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB2
2nd rowC4
3rd rowC5
4th rowC1
5th rowB5

Common Values

ValueCountFrequency (%)
C1 118968
 
6.4%
B5 116612
 
6.3%
B4 115840
 
6.2%
B3 109932
 
5.9%
C2 108132
 
5.8%
C3 103591
 
5.6%
C4 102762
 
5.5%
B2 102227
 
5.5%
B1 102110
 
5.5%
C5 94812
 
5.1%
Other values (25) 785778
42.2%

emp_title
Categorical

HIGH CARDINALITY  MISSING 

Distinct456736
Distinct (%)26.4%
Missing131528
Missing (%)7.1%
Memory size14.2 MiB
Teacher
 
30764
Manager
 
27964
Owner
 
15911
Registered Nurse
 
12596
RN
 
12100
Other values (456731)
1629901 

Unique

Unique352416 ?
Unique (%)20.4%

Sample

1st rowRyder
2nd rowAIR RESOURCES BOARD
3rd rowUniversity Medical Group
4th rowVeolia Transportaton
5th rowSouthern Star Photography

Common Values

ValueCountFrequency (%)
Teacher 30764
 
1.7%
Manager 27964
 
1.5%
Owner 15911
 
0.9%
Registered Nurse 12596
 
0.7%
RN 12100
 
0.7%
Driver 11684
 
0.6%
Supervisor 11669
 
0.6%
Sales 10617
 
0.6%
Project Manager 8968
 
0.5%
Office Manager 7840
 
0.4%
Other values (456726) 1579123
84.9%
(Missing) 131528
 
7.1%

emp_length
Categorical

Distinct11
Distinct (%)< 0.1%
Missing117260
Missing (%)6.3%
Memory size14.2 MiB
10+ years
611462 
2 years
168545 
< 1 year
153732 
3 years
149311 
1 year
122964 
Other values (6)
537490 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10+ years
2nd row< 1 year
3rd row10+ years
4th row10+ years
5th row1 year

Common Values

ValueCountFrequency (%)
10+ years 611462
32.9%
2 years 168545
 
9.1%
< 1 year 153732
 
8.3%
3 years 149311
 
8.0%
1 year 122964
 
6.6%
5 years 115894
 
6.2%
4 years 112236
 
6.0%
6 years 85369
 
4.6%
8 years 78659
 
4.2%
7 years 78153
 
4.2%
(Missing) 117260
 
6.3%

home_ownership
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
MORTGAGE
918219 
RENT
735538 
OWN
205639 
ANY
 
1175
OTHER
 
144

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRENT
2nd rowRENT
3rd rowRENT
4th rowRENT
5th rowRENT

Common Values

ValueCountFrequency (%)
MORTGAGE 918219
49.3%
RENT 735538
39.5%
OWN 205639
 
11.1%
ANY 1175
 
0.1%
OTHER 144
 
< 0.1%
NONE 49
 
< 0.1%

Common Values (Plot)

2023-05-09T20:16:10.395098image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

annual_inc
Real number (ℝ)

Distinct79183
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77369.17772
Minimum0
Maximum110000000
Zeros1086
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:10.477994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28000
Q146000
median65000
Q392000
95-th percentile160000
Maximum110000000
Range110000000
Interquartile range (IQR)46000

Descriptive statistics

Standard deviation117810.3353
Coefficient of variation (CV)1.522703728
Kurtosis446391.3341
Mean77369.17772
Median Absolute Deviation (MAD)21750.5
Skewness521.6860298
Sum1.439657806 × 1011
Variance1.387927511 × 1010
MonotonicityNot monotonic
2023-05-09T20:16:10.561743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000.0 71737
 
3.9%
50000.0 62970
 
3.4%
65000.0 53649
 
2.9%
70000.0 51041
 
2.7%
40000.0 49063
 
2.6%
80000.0 48859
 
2.6%
75000.0 47972
 
2.6%
45000.0 45306
 
2.4%
55000.0 42838
 
2.3%
100000.0 38049
 
2.0%
Other values (79173) 1349280
72.5%
ValueCountFrequency (%)
0.0 1086
0.1%
1.0 23
 
< 0.1%
2.0 1
 
< 0.1%
3.0 1
 
< 0.1%
10.0 4
 
< 0.1%
ValueCountFrequency (%)
110000000.0 1
< 0.1%
61000000.0 1
< 0.1%
10999200.0 1
< 0.1%
9573072.0 1
< 0.1%
9550000.0 1
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
Source Verified
734249 
Not Verified
588491 
Verified
538024 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVerified
2nd rowSource Verified
3rd rowNot Verified
4th rowSource Verified
5th rowSource Verified

Common Values

ValueCountFrequency (%)
Source Verified 734249
39.5%
Not Verified 588491
31.6%
Verified 538024
28.9%

Common Values (Plot)

2023-05-09T20:16:10.642574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct160
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
Minimum2007-06-01 00:00:00
Maximum2020-09-01 00:00:00
2023-05-09T20:16:10.716240image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-09T20:16:10.805661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

purpose
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
debt_consolidation
1063714 
credit_card
412927 
home_improvement
123888 
other
113619 
major_purchase
 
41760
Other values (9)
 
104856

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowcredit_card
2nd rowcar
3rd rowsmall_business
4th rowother
5th rowother

Common Values

ValueCountFrequency (%)
debt_consolidation 1063714
57.2%
credit_card 412927
 
22.2%
home_improvement 123888
 
6.7%
other 113619
 
6.1%
major_purchase 41760
 
2.2%
medical 22584
 
1.2%
small_business 20519
 
1.1%
car 20219
 
1.1%
vacation 13336
 
0.7%
moving 13204
 
0.7%
Other values (4) 14994
 
0.8%

title
Categorical

HIGH CARDINALITY  IMBALANCE  MISSING 

Distinct61685
Distinct (%)3.4%
Missing21406
Missing (%)1.2%
Memory size14.2 MiB
Debt consolidation
941424 
Credit card refinancing
366474 
Home improvement
111179 
Other
102352 
Major purchase
 
36304
Other values (61680)
281625 

Unique

Unique52643 ?
Unique (%)2.9%

Sample

1st rowComputer
2nd rowbike
3rd rowreal estate business
4th rowpersonel
5th rowPersonal

Common Values

ValueCountFrequency (%)
Debt consolidation 941424
50.6%
Credit card refinancing 366474
 
19.7%
Home improvement 111179
 
6.0%
Other 102352
 
5.5%
Major purchase 36304
 
2.0%
Medical expenses 20554
 
1.1%
Business 16810
 
0.9%
Car financing 16806
 
0.9%
Debt Consolidation 15695
 
0.8%
Vacation 12276
 
0.7%
Other values (61675) 199484
 
10.7%
(Missing) 21406
 
1.2%

zip_code
Categorical

Distinct949
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size14.2 MiB
945xx
 
20067
750xx
 
19684
112xx
 
19186
606xx
 
17099
300xx
 
16818
Other values (944)
1767909 

Unique

Unique34 ?
Unique (%)< 0.1%

Sample

1st row860xx
2nd row309xx
3rd row606xx
4th row917xx
5th row972xx

Common Values

ValueCountFrequency (%)
945xx 20067
 
1.1%
750xx 19684
 
1.1%
112xx 19186
 
1.0%
606xx 17099
 
0.9%
300xx 16818
 
0.9%
331xx 15637
 
0.8%
070xx 14839
 
0.8%
891xx 14628
 
0.8%
770xx 14549
 
0.8%
900xx 14053
 
0.8%
Other values (939) 1694203
91.0%

addr_state
Categorical

Distinct51
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
CA
264525 
TX
152990 
NY
150911 
FL
133643 
IL
 
72623
Other values (46)
1086072 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAZ
2nd rowGA
3rd rowIL
4th rowCA
5th rowOR

Common Values

ValueCountFrequency (%)
CA 264525
 
14.2%
TX 152990
 
8.2%
NY 150911
 
8.1%
FL 133643
 
7.2%
IL 72623
 
3.9%
NJ 66982
 
3.6%
PA 62774
 
3.4%
OH 61150
 
3.3%
GA 60592
 
3.3%
NC 52062
 
2.8%
Other values (41) 782512
42.1%

dti
Real number (ℝ)

Distinct9346
Distinct (%)0.5%
Missing1109
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.5680576
Minimum-1
Maximum999
Zeros1355
Zeros (%)0.1%
Negative2
Negative (%)< 0.1%
Memory size16.0 MiB
2023-05-09T20:16:10.902678image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile4.93
Q111.82
median17.71
Q324.29
95-th percentile33.45
Maximum999
Range1000
Interquartile range (IQR)12.47

Descriptive statistics

Standard deviation13.09105017
Coefficient of variation (CV)0.7050306745
Kurtosis1946.858214
Mean18.5680576
Median Absolute Deviation (MAD)6.2
Skewness29.66055995
Sum34530181.15
Variance171.3755946
MonotonicityNot monotonic
2023-05-09T20:16:10.987676image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1355
 
0.1%
19.2 1344
 
0.1%
18.0 1322
 
0.1%
14.4 1318
 
0.1%
16.8 1311
 
0.1%
13.2 1258
 
0.1%
15.6 1253
 
0.1%
12.0 1220
 
0.1%
20.4 1209
 
0.1%
21.6 1185
 
0.1%
Other values (9336) 1846880
99.3%
ValueCountFrequency (%)
-1.0 2
 
< 0.1%
0.0 1355
0.1%
0.01 17
 
< 0.1%
0.02 32
 
< 0.1%
0.03 16
 
< 0.1%
ValueCountFrequency (%)
999.0 89
< 0.1%
994.4 1
 
< 0.1%
991.57 1
 
< 0.1%
962.83 1
 
< 0.1%
962.12 1
 
< 0.1%

delinq_2yrs
Real number (ℝ)

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3128929837
Minimum0
Maximum42
Zeros1508234
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:11.060832image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8755190724
Coefficient of variation (CV)2.798142234
Kurtosis62.9879832
Mean0.3128929837
Median Absolute Deviation (MAD)0
Skewness5.737423644
Sum582220
Variance0.7665336461
MonotonicityNot monotonic
2023-05-09T20:16:11.129615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1508234
81.1%
1 234535
 
12.6%
2 68176
 
3.7%
3 24948
 
1.3%
4 11113
 
0.6%
5 5625
 
0.3%
6 3183
 
0.2%
7 1757
 
0.1%
8 1070
 
0.1%
9 668
 
< 0.1%
Other values (25) 1455
 
0.1%
ValueCountFrequency (%)
0 1508234
81.1%
1 234535
 
12.6%
2 68176
 
3.7%
3 24948
 
1.3%
4 11113
 
0.6%
ValueCountFrequency (%)
42 1
< 0.1%
39 1
< 0.1%
36 1
< 0.1%
32 1
< 0.1%
30 1
< 0.1%

earliest_cr_line
Categorical

Distinct763
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
Sep-2003
 
12568
Sep-2004
 
12563
Aug-2001
 
12174
Aug-2002
 
12113
Aug-2003
 
12028
Other values (758)
1799318 

Unique

Unique34 ?
Unique (%)< 0.1%

Sample

1st rowJan-1985
2nd rowApr-1999
3rd rowNov-2001
4th rowFeb-1996
5th rowJan-1996

Common Values

ValueCountFrequency (%)
Sep-2003 12568
 
0.7%
Sep-2004 12563
 
0.7%
Aug-2001 12174
 
0.7%
Aug-2002 12113
 
0.7%
Aug-2003 12028
 
0.6%
Sep-2005 11835
 
0.6%
Aug-2004 11776
 
0.6%
Oct-2003 11727
 
0.6%
Sep-2002 11608
 
0.6%
Oct-2001 11430
 
0.6%
Other values (753) 1740942
93.6%

inq_last_6mths
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.612582043
Minimum0
Maximum8
Zeros1100425
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:11.193436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.901814299
Coefficient of variation (CV)1.472152685
Kurtosis3.537842952
Mean0.612582043
Median Absolute Deviation (MAD)0
Skewness1.747101811
Sum1139870
Variance0.8132690299
MonotonicityNot monotonic
2023-05-09T20:16:11.246554image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1100425
59.1%
1 497476
26.7%
2 176807
 
9.5%
3 63238
 
3.4%
4 16137
 
0.9%
5 5654
 
0.3%
6 956
 
0.1%
7 48
 
< 0.1%
8 22
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 1100425
59.1%
1 497476
26.7%
2 176807
 
9.5%
3 63238
 
3.4%
4 16137
 
0.9%
ValueCountFrequency (%)
8 22
 
< 0.1%
7 48
 
< 0.1%
6 956
 
0.1%
5 5654
 
0.3%
4 16137
0.9%

mths_since_last_delinq
Real number (ℝ)

Distinct173
Distinct (%)< 0.1%
Missing945315
Missing (%)50.8%
Infinite0
Infinite (%)0.0%
Mean34.43938439
Minimum0
Maximum226
Zeros2080
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:11.325146image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median31
Q350
95-th percentile74
Maximum226
Range226
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.90109237
Coefficient of variation (CV)0.635931587
Kurtosis-0.7118871195
Mean34.43938439
Median Absolute Deviation (MAD)17
Skewness0.4574969887
Sum31527500
Variance479.6578469
MonotonicityNot monotonic
2023-05-09T20:16:11.397970image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 17453
 
0.9%
13 17299
 
0.9%
6 17250
 
0.9%
9 17054
 
0.9%
7 16844
 
0.9%
14 16683
 
0.9%
8 16493
 
0.9%
15 16365
 
0.9%
10 16210
 
0.9%
11 15830
 
0.9%
Other values (163) 747968
40.2%
(Missing) 945315
50.8%
ValueCountFrequency (%)
0 2080
 
0.1%
1 6337
0.3%
2 8528
0.5%
3 10890
0.6%
4 12929
0.7%
ValueCountFrequency (%)
226 1
< 0.1%
202 1
< 0.1%
195 1
< 0.1%
192 1
< 0.1%
188 2
< 0.1%

mths_since_last_record
Real number (ℝ)

Distinct128
Distinct (%)< 0.1%
Missing1552139
Missing (%)83.4%
Infinite0
Infinite (%)0.0%
Mean71.67069421
Minimum0
Maximum129
Zeros684
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:11.479537image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q154
median73
Q392
95-th percentile113
Maximum129
Range129
Interquartile range (IQR)38

Descriptive statistics

Standard deviation26.46939262
Coefficient of variation (CV)0.369319607
Kurtosis-0.473084571
Mean71.67069421
Median Absolute Deviation (MAD)19
Skewness-0.3094070207
Sum22119368
Variance700.6287456
MonotonicityNot monotonic
2023-05-09T20:16:11.556218image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 4694
 
0.3%
80 4661
 
0.3%
77 4616
 
0.2%
76 4584
 
0.2%
82 4574
 
0.2%
75 4565
 
0.2%
78 4560
 
0.2%
81 4545
 
0.2%
71 4537
 
0.2%
72 4527
 
0.2%
Other values (118) 262762
 
14.1%
(Missing) 1552139
83.4%
ValueCountFrequency (%)
0 684
< 0.1%
1 139
 
< 0.1%
2 162
 
< 0.1%
3 284
< 0.1%
4 341
< 0.1%
ValueCountFrequency (%)
129 1
 
< 0.1%
127 1
 
< 0.1%
126 2
 
< 0.1%
124 6
< 0.1%
123 7
< 0.1%

open_acc
Real number (ℝ)

Distinct86
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.60590596
Minimum0
Maximum90
Zeros34
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:11.638457image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum90
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.575503436
Coefficient of variation (CV)0.4804022585
Kurtosis3.429338234
Mean11.60590596
Median Absolute Deviation (MAD)3
Skewness1.313837617
Sum21595852
Variance31.08623857
MonotonicityNot monotonic
2023-05-09T20:16:11.812033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 163070
 
8.8%
10 157943
 
8.5%
8 156962
 
8.4%
11 146186
 
7.9%
7 142535
 
7.7%
12 130877
 
7.0%
6 119319
 
6.4%
13 114272
 
6.1%
14 97868
 
5.3%
5 87727
 
4.7%
Other values (76) 544005
29.2%
ValueCountFrequency (%)
0 34
 
< 0.1%
1 1073
 
0.1%
2 7968
 
0.4%
3 24807
1.3%
4 53989
2.9%
ValueCountFrequency (%)
90 1
 
< 0.1%
88 1
 
< 0.1%
86 3
< 0.1%
84 2
< 0.1%
82 1
 
< 0.1%

pub_rec
Real number (ℝ)

Distinct42
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2083106724
Minimum0
Maximum86
Zeros1552809
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:11.894375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum86
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5901915441
Coefficient of variation (CV)2.833227589
Kurtosis735.25927
Mean0.2083106724
Median Absolute Deviation (MAD)0
Skewness11.7218105
Sum387617
Variance0.3483260588
MonotonicityNot monotonic
2023-05-09T20:16:11.960608image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 1552809
83.5%
1 260623
 
14.0%
2 30898
 
1.7%
3 9492
 
0.5%
4 3473
 
0.2%
5 1656
 
0.1%
6 830
 
< 0.1%
7 379
 
< 0.1%
8 214
 
< 0.1%
9 118
 
< 0.1%
Other values (32) 272
 
< 0.1%
ValueCountFrequency (%)
0 1552809
83.5%
1 260623
 
14.0%
2 30898
 
1.7%
3 9492
 
0.5%
4 3473
 
0.2%
ValueCountFrequency (%)
86 1
< 0.1%
63 1
< 0.1%
61 2
< 0.1%
54 1
< 0.1%
52 1
< 0.1%

revol_bal
Real number (ℝ)

Distinct94296
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16285.21245
Minimum0
Maximum2904836
Zeros10331
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:12.036479image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1552
Q15841
median11070
Q319769
95-th percentile44034
Maximum2904836
Range2904836
Interquartile range (IQR)13928

Descriptive statistics

Standard deviation22468.94284
Coefficient of variation (CV)1.379714444
Kurtosis589.5954592
Mean16285.21245
Median Absolute Deviation (MAD)6211
Skewness12.70186269
Sum3.030293705 × 1010
Variance504853392.4
MonotonicityNot monotonic
2023-05-09T20:16:12.118732image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10331
 
0.6%
8 179
 
< 0.1%
10 143
 
< 0.1%
2 141
 
< 0.1%
6312 140
 
< 0.1%
5570 133
 
< 0.1%
5849 133
 
< 0.1%
5453 133
 
< 0.1%
5451 133
 
< 0.1%
6 131
 
< 0.1%
Other values (94286) 1849167
99.4%
ValueCountFrequency (%)
0 10331
0.6%
1 110
 
< 0.1%
2 141
 
< 0.1%
3 131
 
< 0.1%
4 121
 
< 0.1%
ValueCountFrequency (%)
2904836 1
< 0.1%
2568995 1
< 0.1%
2560703 1
< 0.1%
1746716 1
< 0.1%
1743266 1
< 0.1%

revol_util
Real number (ℝ)

Distinct1406
Distinct (%)0.1%
Missing1398
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean50.46401504
Minimum0
Maximum892.3
Zeros10919
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size14.2 MiB
2023-05-09T20:16:12.200850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.2
Q131.6
median50.5
Q369.6
95-th percentile91.1
Maximum892.3
Range892.3
Interquartile range (IQR)38

Descriptive statistics

Standard deviation24.78971109
Coefficient of variation (CV)0.4912354095
Kurtosis-0.1036918549
Mean50.46401504
Median Absolute Deviation (MAD)19
Skewness0.003426512322
Sum93831073.79
Variance614.529776
MonotonicityNot monotonic
2023-05-09T20:16:12.276738image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10919
 
0.6%
48 3550
 
0.2%
57 3539
 
0.2%
59 3517
 
0.2%
53 3505
 
0.2%
58 3502
 
0.2%
61 3484
 
0.2%
55 3454
 
0.2%
54 3433
 
0.2%
60 3410
 
0.2%
Other values (1396) 1817053
97.7%
ValueCountFrequency (%)
0 10919
0.6%
0.01 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
ValueCountFrequency (%)
892.3 1
< 0.1%
366.6 1
< 0.1%
193 1
< 0.1%
184.6 1
< 0.1%
182.8 1
< 0.1%

total_acc
Real number (ℝ)

Distinct149
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.59633355
Minimum2
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:12.349953image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q116
median23
Q331
95-th percentile47
Maximum176
Range174
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.04635492
Coefficient of variation (CV)0.4897622199
Kurtosis1.824600602
Mean24.59633355
Median Absolute Deviation (MAD)8
Skewness0.9962277224
Sum45767972
Variance145.1146668
MonotonicityNot monotonic
2023-05-09T20:16:12.424726image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 67623
 
3.6%
19 67131
 
3.6%
21 66947
 
3.6%
18 66419
 
3.6%
17 65930
 
3.5%
22 65852
 
3.5%
23 64374
 
3.5%
16 64083
 
3.4%
24 62811
 
3.4%
15 61862
 
3.3%
Other values (139) 1207732
64.9%
ValueCountFrequency (%)
2 765
 
< 0.1%
3 2655
 
0.1%
4 7613
0.4%
5 12163
0.7%
6 17905
1.0%
ValueCountFrequency (%)
176 1
< 0.1%
173 1
< 0.1%
169 1
< 0.1%
165 1
< 0.1%
162 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
w
1195246 
f
665518 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowf
2nd rowf
3rd rowf
4th rowf
5th rowf

Common Values

ValueCountFrequency (%)
w 1195246
64.2%
f 665518
35.8%

Common Values (Plot)

2023-05-09T20:16:12.504189image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

next_pymnt_d
Categorical

Distinct7
Distinct (%)1.6%
Missing1860331
Missing (%)> 99.9%
Memory size14.2 MiB
Jun-2020
236 
Feb-2020
87 
Mar-2020
83 
Apr-2020
 
18
May-2020
 
6
Other values (2)
 
3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowJun-2020
2nd rowJun-2020
3rd rowJun-2020
4th rowJun-2020
5th rowJun-2020

Common Values

ValueCountFrequency (%)
Jun-2020 236
 
< 0.1%
Feb-2020 87
 
< 0.1%
Mar-2020 83
 
< 0.1%
Apr-2020 18
 
< 0.1%
May-2020 6
 
< 0.1%
Oct-2020 2
 
< 0.1%
Jul-2020 1
 
< 0.1%
(Missing) 1860331
> 99.9%

Common Values (Plot)

2023-05-09T20:16:12.571052image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct158
Distinct (%)< 0.1%
Missing65
Missing (%)< 0.1%
Memory size14.2 MiB
May-2020
553524 
Mar-2020
106976 
Nov-2019
 
74226
Jan-2020
 
73971
Apr-2020
 
62893
Other values (153)
989109 

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowMay-2020
2nd rowOct-2016
3rd rowJun-2017
4th rowApr-2016
5th rowApr-2018

Common Values

ValueCountFrequency (%)
May-2020 553524
29.7%
Mar-2020 106976
 
5.7%
Nov-2019 74226
 
4.0%
Jan-2020 73971
 
4.0%
Apr-2020 62893
 
3.4%
Oct-2019 49361
 
2.7%
Oct-2016 47544
 
2.6%
Sep-2019 46307
 
2.5%
Feb-2020 45947
 
2.5%
Jul-2019 42036
 
2.3%
Other values (148) 757914
40.7%
Distinct16
Distinct (%)< 0.1%
Missing56
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.01788082816
Minimum0
Maximum20
Zeros1830317
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:12.646218image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1497385443
Coefficient of variation (CV)8.374251069
Kurtosis696.0462079
Mean0.01788082816
Median Absolute Deviation (MAD)0
Skewness14.61548832
Sum33271
Variance0.02242163165
MonotonicityNot monotonic
2023-05-09T20:16:12.714257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1830317
98.4%
1 28158
 
1.5%
2 1890
 
0.1%
3 213
 
< 0.1%
4 72
 
< 0.1%
5 28
 
< 0.1%
6 12
 
< 0.1%
7 5
 
< 0.1%
8 2
 
< 0.1%
20 2
 
< 0.1%
Other values (6) 9
 
< 0.1%
(Missing) 56
 
< 0.1%
ValueCountFrequency (%)
0 1830317
98.4%
1 28158
 
1.5%
2 1890
 
0.1%
3 213
 
< 0.1%
4 72
 
< 0.1%
ValueCountFrequency (%)
20 2
< 0.1%
16 1
< 0.1%
14 1
< 0.1%
12 2
< 0.1%
11 1
< 0.1%
Distinct181
Distinct (%)< 0.1%
Missing1374714
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean43.97357474
Minimum0
Maximum226
Zeros341
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:12.790441image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q127
median44
Q361
95-th percentile77
Maximum226
Range226
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.46164926
Coefficient of variation (CV)0.4880578709
Kurtosis-0.5993041546
Mean43.97357474
Median Absolute Deviation (MAD)17
Skewness0.0780296766
Sum21373356
Variance460.602389
MonotonicityNot monotonic
2023-05-09T20:16:12.869437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 7675
 
0.4%
43 7669
 
0.4%
42 7585
 
0.4%
48 7532
 
0.4%
40 7529
 
0.4%
46 7515
 
0.4%
44 7501
 
0.4%
41 7457
 
0.4%
47 7446
 
0.4%
38 7435
 
0.4%
Other values (171) 410706
 
22.1%
(Missing) 1374714
73.9%
ValueCountFrequency (%)
0 341
 
< 0.1%
1 1219
0.1%
2 1401
0.1%
3 1652
0.1%
4 2169
0.1%
ValueCountFrequency (%)
226 1
< 0.1%
202 1
< 0.1%
197 1
< 0.1%
195 1
< 0.1%
192 1
< 0.1%

application_type
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
Individual
1791229 
Joint App
 
69535

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndividual
2nd rowIndividual
3rd rowIndividual
4th rowIndividual
5th rowIndividual

Common Values

ValueCountFrequency (%)
Individual 1791229
96.3%
Joint App 69535
 
3.7%

Common Values (Plot)

2023-05-09T20:16:12.937751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

annual_inc_joint
Real number (ℝ)

MISSING  SKEWED 

Distinct11326
Distinct (%)16.3%
Missing1791229
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean122584.4036
Minimum5693.51
Maximum7874821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:13.002868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum5693.51
5-th percentile52534.2
Q182241
median110000
Q3146000
95-th percentile230000
Maximum7874821
Range7869127.49
Interquartile range (IQR)63759

Descriptive statistics

Standard deviation72192.45428
Coefficient of variation (CV)0.588920386
Kurtosis1956.124929
Mean122584.4036
Median Absolute Deviation (MAD)30000
Skewness21.21890058
Sum8523906503
Variance5211750454
MonotonicityNot monotonic
2023-05-09T20:16:13.088632image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110000.0 1236
 
0.1%
100000.0 1199
 
0.1%
120000.0 1166
 
0.1%
90000.0 1074
 
0.1%
130000.0 1006
 
0.1%
80000.0 963
 
0.1%
105000.0 878
 
< 0.1%
95000.0 861
 
< 0.1%
140000.0 844
 
< 0.1%
150000.0 842
 
< 0.1%
Other values (11316) 59466
 
3.2%
(Missing) 1791229
96.3%
ValueCountFrequency (%)
5693.51 1
< 0.1%
9000.0 1
< 0.1%
11000.0 1
< 0.1%
13470.0 1
< 0.1%
15400.0 1
< 0.1%
ValueCountFrequency (%)
7874821.0 1
 
< 0.1%
2000000.0 3
< 0.1%
1837000.0 1
 
< 0.1%
1500000.0 2
< 0.1%
1350000.0 1
 
< 0.1%

dti_joint
Real number (ℝ)

Distinct3977
Distinct (%)5.7%
Missing1791232
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean18.92935425
Minimum0
Maximum69.49
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:13.172412image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.66
Q113.18
median18.52
Q324.32
95-th percentile32.73
Maximum69.49
Range69.49
Interquartile range (IQR)11.14

Descriptive statistics

Standard deviation7.850512838
Coefficient of variation (CV)0.4147269227
Kurtosis-0.3271819186
Mean18.92935425
Median Absolute Deviation (MAD)5.55
Skewness0.2390631739
Sum1316195.86
Variance61.63055182
MonotonicityNot monotonic
2023-05-09T20:16:13.252067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.54 52
 
< 0.1%
16.11 51
 
< 0.1%
15.47 51
 
< 0.1%
16.97 51
 
< 0.1%
20.45 50
 
< 0.1%
17.94 49
 
< 0.1%
20.16 49
 
< 0.1%
18.1 48
 
< 0.1%
16.67 47
 
< 0.1%
19.23 46
 
< 0.1%
Other values (3967) 69038
 
3.7%
(Missing) 1791232
96.3%
ValueCountFrequency (%)
0.0 14
< 0.1%
0.03 1
 
< 0.1%
0.11 1
 
< 0.1%
0.12 1
 
< 0.1%
0.13 3
 
< 0.1%
ValueCountFrequency (%)
69.49 1
< 0.1%
63.66 1
< 0.1%
61.9 1
< 0.1%
61.28 1
< 0.1%
55.52 1
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing1793425
Missing (%)96.4%
Memory size14.2 MiB
Not Verified
35617 
Source Verified
18837 
Verified
12885 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Verified
2nd rowVerified
3rd rowSource Verified
4th rowVerified
5th rowSource Verified

Common Values

ValueCountFrequency (%)
Not Verified 35617
 
1.9%
Source Verified 18837
 
1.0%
Verified 12885
 
0.7%
(Missing) 1793425
96.4%

Common Values (Plot)

2023-05-09T20:16:13.327604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

acc_now_delinq
Real number (ℝ)

SKEWED  ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004574465112
Minimum0
Maximum14
Zeros1852801
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:13.508434image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07310687497
Coefficient of variation (CV)15.98151329
Kurtosis1158.738545
Mean0.004574465112
Median Absolute Deviation (MAD)0
Skewness21.76921297
Sum8512
Variance0.005344615168
MonotonicityNot monotonic
2023-05-09T20:16:13.564068image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1852801
99.6%
1 7509
 
0.4%
2 390
 
< 0.1%
3 48
 
< 0.1%
4 11
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
0 1852801
99.6%
1 7509
 
0.4%
2 390
 
< 0.1%
3 48
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 11
 
< 0.1%
3 48
< 0.1%

tot_coll_amt
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct14590
Distinct (%)0.8%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean240.6584289
Minimum0
Maximum9152545
Zeros1517329
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:13.631473image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile795
Maximum9152545
Range9152545
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9384.575364
Coefficient of variation (CV)38.99541524
Kurtosis666495.7613
Mean240.6584289
Median Absolute Deviation (MAD)0
Skewness778.2900224
Sum431557599
Variance88070254.77
MonotonicityNot monotonic
2023-05-09T20:16:13.709829image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1517329
81.5%
50 3374
 
0.2%
100 2757
 
0.1%
75 2100
 
0.1%
200 1595
 
0.1%
150 1590
 
0.1%
60 1500
 
0.1%
70 1229
 
0.1%
80 1187
 
0.1%
55 1038
 
0.1%
Other values (14580) 259538
 
13.9%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 1517329
81.5%
2 5
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
9152545 1
< 0.1%
6214661 1
< 0.1%
5252395 1
< 0.1%
932461 1
< 0.1%
848438 1
< 0.1%

tot_cur_bal
Real number (ℝ)

Distinct456136
Distinct (%)25.4%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean142377.7779
Minimum0
Maximum8524709
Zeros698
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:13.796676image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8351
Q129286
median80208
Q3212904
95-th percentile438975.2
Maximum8524709
Range8524709
Interquartile range (IQR)183618

Descriptive statistics

Standard deviation159714.0529
Coefficient of variation (CV)1.121762506
Kurtosis28.17728186
Mean142377.7779
Median Absolute Deviation (MAD)63701
Skewness2.907760628
Sum2.553170993 × 1011
Variance2.55085787 × 1010
MonotonicityNot monotonic
2023-05-09T20:16:13.872926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 698
 
< 0.1%
16053 35
 
< 0.1%
25197 34
 
< 0.1%
11497 34
 
< 0.1%
14186 34
 
< 0.1%
20084 33
 
< 0.1%
14671 33
 
< 0.1%
28582 33
 
< 0.1%
17185 33
 
< 0.1%
14511 33
 
< 0.1%
Other values (456126) 1792237
96.3%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 698
< 0.1%
1 12
 
< 0.1%
2 13
 
< 0.1%
3 17
 
< 0.1%
4 10
 
< 0.1%
ValueCountFrequency (%)
8524709 1
< 0.1%
8000078 1
< 0.1%
5445012 1
< 0.1%
5172185 1
< 0.1%
4772549 1
< 0.1%

open_acc_6m
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing846444
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean0.999155099
Minimum0
Maximum18
Zeros431679
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:13.944067image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.179462028
Coefficient of variation (CV)1.180459399
Kurtosis4.295644055
Mean0.999155099
Median Absolute Deviation (MAD)1
Skewness1.636221431
Sum1013463
Variance1.391130676
MonotonicityNot monotonic
2023-05-09T20:16:14.000610image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 431679
23.2%
1 320264
 
17.2%
2 157911
 
8.5%
3 65004
 
3.5%
4 24762
 
1.3%
5 8980
 
0.5%
6 3431
 
0.2%
7 1312
 
0.1%
8 538
 
< 0.1%
9 238
 
< 0.1%
Other values (9) 201
 
< 0.1%
(Missing) 846444
45.5%
ValueCountFrequency (%)
0 431679
23.2%
1 320264
17.2%
2 157911
 
8.5%
3 65004
 
3.5%
4 24762
 
1.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 1
 
< 0.1%
16 2
 
< 0.1%
15 2
 
< 0.1%
14 9
< 0.1%

open_act_il
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)< 0.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean2.78737796
Minimum0
Maximum57
Zeros116519
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.076144image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile9
Maximum57
Range57
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.993367778
Coefficient of variation (CV)1.073900928
Kurtosis13.72415311
Mean2.78737796
Median Absolute Deviation (MAD)1
Skewness2.986552953
Sum2827296
Variance8.960250653
MonotonicityNot monotonic
2023-05-09T20:16:14.151079image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 258076
 
13.9%
2 246366
 
13.2%
3 154729
 
8.3%
0 116519
 
6.3%
4 82646
 
4.4%
5 45212
 
2.4%
6 26964
 
1.4%
7 18642
 
1.0%
8 13633
 
0.7%
9 10635
 
0.6%
Other values (40) 40899
 
2.2%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 116519
6.3%
1 258076
13.9%
2 246366
13.2%
3 154729
8.3%
4 82646
 
4.4%
ValueCountFrequency (%)
57 1
< 0.1%
53 1
< 0.1%
49 2
< 0.1%
48 2
< 0.1%
47 2
< 0.1%

open_il_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean0.7390687958
Minimum0
Maximum25
Zeros522571
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.222710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9687756011
Coefficient of variation (CV)1.310805715
Kurtosis5.258973272
Mean0.7390687958
Median Absolute Deviation (MAD)0
Skewness1.736176747
Sum749653
Variance0.9385261654
MonotonicityNot monotonic
2023-05-09T20:16:14.282231image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 522571
28.1%
1 314852
 
16.9%
2 121996
 
6.6%
3 37165
 
2.0%
4 12040
 
0.6%
5 3907
 
0.2%
6 1372
 
0.1%
7 217
 
< 0.1%
8 95
 
< 0.1%
9 47
 
< 0.1%
Other values (9) 59
 
< 0.1%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 522571
28.1%
1 314852
16.9%
2 121996
 
6.6%
3 37165
 
2.0%
4 12040
 
0.6%
ValueCountFrequency (%)
25 1
< 0.1%
21 1
< 0.1%
20 2
< 0.1%
15 1
< 0.1%
14 1
< 0.1%

open_il_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.676209997
Minimum0
Maximum51
Zeros250623
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.344795image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum51
Range51
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.642989952
Coefficient of variation (CV)0.9801814544
Kurtosis6.478404485
Mean1.676209997
Median Absolute Deviation (MAD)1
Skewness1.734657762
Sum1700215
Variance2.699415984
MonotonicityNot monotonic
2023-05-09T20:16:14.417670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 312328
 
16.8%
0 250623
 
13.5%
2 214115
 
11.5%
3 116770
 
6.3%
4 59203
 
3.2%
5 30241
 
1.6%
6 14891
 
0.8%
7 7702
 
0.4%
8 3939
 
0.2%
9 1983
 
0.1%
Other values (21) 2526
 
0.1%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 250623
13.5%
1 312328
16.8%
2 214115
11.5%
3 116770
 
6.3%
4 59203
 
3.2%
ValueCountFrequency (%)
51 1
< 0.1%
39 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%
28 1
< 0.1%

mths_since_rcnt_il
Real number (ℝ)

Distinct381
Distinct (%)< 0.1%
Missing875459
Missing (%)47.0%
Infinite0
Infinite (%)0.0%
Mean20.10727846
Minimum0
Maximum511
Zeros504
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.488429image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median12
Q323
95-th percentile69
Maximum511
Range511
Interquartile range (IQR)17

Descriptive statistics

Standard deviation25.21432694
Coefficient of variation (CV)1.253990041
Kurtosis18.60445989
Mean20.10727846
Median Absolute Deviation (MAD)7
Skewness3.545013716
Sum19811802
Variance635.762283
MonotonicityNot monotonic
2023-05-09T20:16:14.573138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 47986
 
2.6%
4 47508
 
2.6%
3 46592
 
2.5%
6 45675
 
2.5%
5 45584
 
2.4%
8 44994
 
2.4%
9 41014
 
2.2%
2 39563
 
2.1%
10 38782
 
2.1%
13 37924
 
2.0%
Other values (371) 549683
29.5%
(Missing) 875459
47.0%
ValueCountFrequency (%)
0 504
 
< 0.1%
1 21467
1.2%
2 39563
2.1%
3 46592
2.5%
4 47508
2.6%
ValueCountFrequency (%)
511 1
< 0.1%
503 1
< 0.1%
488 1
< 0.1%
484 1
< 0.1%
480 1
< 0.1%

total_bal_il
Real number (ℝ)

MISSING  ZEROS 

Distinct146809
Distinct (%)14.5%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean35806.93245
Minimum0
Maximum1711009
Zeros111139
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.648346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19137
median23642
Q346546
95-th percentile113286
Maximum1711009
Range1711009
Interquartile range (IQR)37409

Descriptive statistics

Standard deviation43734.66324
Coefficient of variation (CV)1.221402121
Kurtosis30.78720067
Mean35806.93245
Median Absolute Deviation (MAD)17075
Skewness3.755959539
Sum3.631972353 × 1010
Variance1912720769
MonotonicityNot monotonic
2023-05-09T20:16:14.727419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 111139
 
6.0%
10000 82
 
< 0.1%
15000 77
 
< 0.1%
5000 75
 
< 0.1%
5500 64
 
< 0.1%
9500 51
 
< 0.1%
20000 50
 
< 0.1%
7000 50
 
< 0.1%
2000 46
 
< 0.1%
3000 45
 
< 0.1%
Other values (146799) 902642
48.5%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 111139
6.0%
1 45
 
< 0.1%
2 10
 
< 0.1%
3 10
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
1711009 1
< 0.1%
1547285 1
< 0.1%
1466398 1
< 0.1%
1378570 1
< 0.1%
1345993 1
< 0.1%

il_util
Real number (ℝ)

Distinct266
Distinct (%)< 0.1%
Missing988570
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean70.44512803
Minimum0
Maximum558
Zeros5026
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.814626image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q157
median73
Q386
95-th percentile101
Maximum558
Range558
Interquartile range (IQR)29

Descriptive statistics

Standard deviation23.29126025
Coefficient of variation (CV)0.3306298236
Kurtosis1.431532495
Mean70.44512803
Median Absolute Deviation (MAD)15
Skewness-0.3828219808
Sum61441818
Variance542.4828041
MonotonicityNot monotonic
2023-05-09T20:16:14.887788image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 17267
 
0.9%
83 17215
 
0.9%
81 17144
 
0.9%
75 16892
 
0.9%
85 16718
 
0.9%
80 16577
 
0.9%
77 16564
 
0.9%
82 16521
 
0.9%
79 16362
 
0.9%
86 16334
 
0.9%
Other values (256) 704600
37.9%
(Missing) 988570
53.1%
ValueCountFrequency (%)
0 5026
0.3%
1 307
 
< 0.1%
2 566
 
< 0.1%
3 1104
 
0.1%
4 709
 
< 0.1%
ValueCountFrequency (%)
558 1
< 0.1%
464 1
< 0.1%
417 1
< 0.1%
384 1
< 0.1%
376 1
< 0.1%

open_rv_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.357175884
Minimum0
Maximum28
Zeros353162
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:14.964396image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum28
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.541873982
Coefficient of variation (CV)1.136090023
Kurtosis7.520906605
Mean1.357175884
Median Absolute Deviation (MAD)1
Skewness1.974416574
Sum1376612
Variance2.377375376
MonotonicityNot monotonic
2023-05-09T20:16:15.022500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 353162
19.0%
1 302058
 
16.2%
2 180138
 
9.7%
3 91982
 
4.9%
4 44173
 
2.4%
5 21156
 
1.1%
6 10443
 
0.6%
7 5181
 
0.3%
8 2608
 
0.1%
9 1429
 
0.1%
Other values (19) 1991
 
0.1%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 353162
19.0%
1 302058
16.2%
2 180138
9.7%
3 91982
 
4.9%
4 44173
 
2.4%
ValueCountFrequency (%)
28 2
 
< 0.1%
27 1
 
< 0.1%
26 5
< 0.1%
25 1
 
< 0.1%
24 2
 
< 0.1%

open_rv_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean2.869325391
Minimum0
Maximum60
Zeros149809
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:15.096997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.648877234
Coefficient of variation (CV)0.9231707362
Kurtosis8.02318412
Mean2.869325391
Median Absolute Deviation (MAD)1
Skewness1.944027935
Sum2910417
Variance7.016550599
MonotonicityNot monotonic
2023-05-09T20:16:15.176200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 208530
 
11.2%
2 193533
 
10.4%
3 149812
 
8.1%
0 149809
 
8.1%
4 105445
 
5.7%
5 71345
 
3.8%
6 46734
 
2.5%
7 30766
 
1.7%
8 19659
 
1.1%
9 12835
 
0.7%
Other values (39) 25853
 
1.4%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 149809
8.1%
1 208530
11.2%
2 193533
10.4%
3 149812
8.1%
4 105445
5.7%
ValueCountFrequency (%)
60 1
 
< 0.1%
54 1
 
< 0.1%
53 1
 
< 0.1%
49 1
 
< 0.1%
45 4
< 0.1%

max_bal_bc
Real number (ℝ)

MISSING  ZEROS 

Distinct31448
Distinct (%)3.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean5605.635187
Minimum0
Maximum1170668
Zeros27606
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:15.256331image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile292
Q12178
median4244
Q37314
95-th percentile15792
Maximum1170668
Range1170668
Interquartile range (IQR)5136

Descriptive statistics

Standard deviation5632.733703
Coefficient of variation (CV)1.004834156
Kurtosis2491.703406
Mean5605.635187
Median Absolute Deviation (MAD)2369
Skewness17.66648603
Sum5685913489
Variance31727688.97
MonotonicityNot monotonic
2023-05-09T20:16:15.342284image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27606
 
1.5%
8 460
 
< 0.1%
3000 443
 
< 0.1%
2000 405
 
< 0.1%
4000 352
 
< 0.1%
5000 306
 
< 0.1%
2500 303
 
< 0.1%
1500 270
 
< 0.1%
3500 259
 
< 0.1%
1000 246
 
< 0.1%
Other values (31438) 983671
52.9%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 27606
1.5%
1 140
 
< 0.1%
2 185
 
< 0.1%
3 192
 
< 0.1%
4 166
 
< 0.1%
ValueCountFrequency (%)
1170668 1
< 0.1%
776843 1
< 0.1%
586070 1
< 0.1%
571793 1
< 0.1%
457521 1
< 0.1%

all_util
Real number (ℝ)

Distinct179
Distinct (%)< 0.1%
Missing846582
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean57.22989266
Minimum0
Maximum204
Zeros2269
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:15.590774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q143
median58
Q372
95-th percentile90
Maximum204
Range204
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.04854927
Coefficient of variation (CV)0.3677894242
Kurtosis-0.09237919048
Mean57.22989266
Median Absolute Deviation (MAD)14
Skewness-0.1500244125
Sum58041527
Variance443.0414264
MonotonicityNot monotonic
2023-05-09T20:16:15.670823image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 19249
 
1.0%
59 19208
 
1.0%
63 19163
 
1.0%
61 19049
 
1.0%
64 19008
 
1.0%
62 18997
 
1.0%
65 18779
 
1.0%
58 18701
 
1.0%
57 18656
 
1.0%
66 18529
 
1.0%
Other values (169) 824843
44.3%
(Missing) 846582
45.5%
ValueCountFrequency (%)
0 2269
0.1%
1 1348
0.1%
2 1237
0.1%
3 1292
0.1%
4 1351
0.1%
ValueCountFrequency (%)
204 1
< 0.1%
198 1
< 0.1%
197 1
< 0.1%
186 1
< 0.1%
185 1
< 0.1%

total_rev_hi_lim
Real number (ℝ)

MISSING  SKEWED 

Distinct30998
Distinct (%)1.7%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean33823.97164
Minimum0
Maximum9999999
Zeros1055
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:15.756952image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6000
Q114400
median24800
Q342100
95-th percentile89029
Maximum9999999
Range9999999
Interquartile range (IQR)27700

Descriptive statistics

Standard deviation36581.89129
Coefficient of variation (CV)1.081537428
Kurtosis9302.980563
Mean33823.97164
Median Absolute Deviation (MAD)12400
Skewness38.76993061
Sum6.065439743 × 1010
Variance1338234770
MonotonicityNot monotonic
2023-05-09T20:16:15.838454image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 5908
 
0.3%
15000 5727
 
0.3%
13000 5632
 
0.3%
11000 5590
 
0.3%
11500 5516
 
0.3%
12000 5513
 
0.3%
14000 5510
 
0.3%
13500 5467
 
0.3%
14500 5443
 
0.3%
12500 5442
 
0.3%
Other values (30988) 1737489
93.4%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 1055
0.1%
100 23
 
< 0.1%
200 46
 
< 0.1%
300 263
 
< 0.1%
400 89
 
< 0.1%
ValueCountFrequency (%)
9999999 3
< 0.1%
2175000 1
 
< 0.1%
2013133 1
 
< 0.1%
1998700 1
 
< 0.1%
1875800 1
 
< 0.1%

inq_fi
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing846443
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.082685856
Minimum0
Maximum48
Zeros487467
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:15.913815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.552530487
Coefficient of variation (CV)1.433962103
Kurtosis12.77114054
Mean1.082685856
Median Absolute Deviation (MAD)1
Skewness2.600648692
Sum1098191
Variance2.410350912
MonotonicityNot monotonic
2023-05-09T20:16:15.982301image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 487467
26.2%
1 257070
 
13.8%
2 131758
 
7.1%
3 66036
 
3.5%
4 33110
 
1.8%
5 17538
 
0.9%
6 9158
 
0.5%
7 5044
 
0.3%
8 2859
 
0.2%
9 1656
 
0.1%
Other values (22) 2625
 
0.1%
(Missing) 846443
45.5%
ValueCountFrequency (%)
0 487467
26.2%
1 257070
13.8%
2 131758
 
7.1%
3 66036
 
3.5%
4 33110
 
1.8%
ValueCountFrequency (%)
48 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
29 1
 
< 0.1%
28 3
< 0.1%

total_cu_tl
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)< 0.1%
Missing846444
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean1.557773681
Minimum0
Maximum79
Zeros535499
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:16.061214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum79
Range79
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.772124022
Coefficient of variation (CV)1.779542212
Kurtosis21.01683766
Mean1.557773681
Median Absolute Deviation (MAD)0
Skewness3.463177991
Sum1580081
Variance7.684671592
MonotonicityNot monotonic
2023-05-09T20:16:16.146723image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 535499
28.8%
1 171140
 
9.2%
2 95967
 
5.2%
3 61564
 
3.3%
4 41854
 
2.2%
5 28850
 
1.6%
6 20896
 
1.1%
7 14975
 
0.8%
8 11062
 
0.6%
9 7986
 
0.4%
Other values (49) 24527
 
1.3%
(Missing) 846444
45.5%
ValueCountFrequency (%)
0 535499
28.8%
1 171140
 
9.2%
2 95967
 
5.2%
3 61564
 
3.3%
4 41854
 
2.2%
ValueCountFrequency (%)
79 1
< 0.1%
71 1
< 0.1%
68 2
< 0.1%
60 1
< 0.1%
56 2
< 0.1%

inq_last_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct47
Distinct (%)< 0.1%
Missing846444
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean2.185238386
Minimum0
Maximum67
Zeros263785
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:16.236446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile7
Maximum67
Range67
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.470397432
Coefficient of variation (CV)1.130493335
Kurtosis11.07510186
Mean2.185238386
Median Absolute Deviation (MAD)1
Skewness2.371626303
Sum2216531
Variance6.102863472
MonotonicityNot monotonic
2023-05-09T20:16:16.309846image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 263785
 
14.2%
1 242686
 
13.0%
2 177017
 
9.5%
3 118427
 
6.4%
4 75846
 
4.1%
5 47561
 
2.6%
6 30379
 
1.6%
7 19404
 
1.0%
8 12635
 
0.7%
9 8403
 
0.5%
Other values (37) 18177
 
1.0%
(Missing) 846444
45.5%
ValueCountFrequency (%)
0 263785
14.2%
1 242686
13.0%
2 177017
9.5%
3 118427
6.4%
4 75846
 
4.1%
ValueCountFrequency (%)
67 1
< 0.1%
49 1
< 0.1%
46 1
< 0.1%
45 2
< 0.1%
42 2
< 0.1%

acc_open_past_24mths
Real number (ℝ)

MISSING  ZEROS 

Distinct57
Distinct (%)< 0.1%
Missing47281
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean4.652297264
Minimum0
Maximum64
Zeros74489
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:16.395593image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile11
Maximum64
Range64
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.196541755
Coefficient of variation (CV)0.6870888883
Kurtosis4.307216739
Mean4.652297264
Median Absolute Deviation (MAD)2
Skewness1.384369902
Sum8436862
Variance10.21787919
MonotonicityNot monotonic
2023-05-09T20:16:16.467312image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 267917
14.4%
4 253628
13.6%
2 240361
12.9%
5 216473
11.6%
6 171290
9.2%
1 170164
9.1%
7 128276
6.9%
8 91707
 
4.9%
0 74489
 
4.0%
9 63925
 
3.4%
Other values (47) 135253
7.3%
(Missing) 47281
 
2.5%
ValueCountFrequency (%)
0 74489
 
4.0%
1 170164
9.1%
2 240361
12.9%
3 267917
14.4%
4 253628
13.6%
ValueCountFrequency (%)
64 1
< 0.1%
61 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
54 1
< 0.1%

avg_cur_bal
Real number (ℝ)

Distinct84454
Distinct (%)4.7%
Missing67572
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean13588.18831
Minimum0
Maximum958084
Zeros672
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:16.551236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1080
Q13093
median7407
Q318837
95-th percentile43570
Maximum958084
Range958084
Interquartile range (IQR)15744

Descriptive statistics

Standard deviation16495.70033
Coefficient of variation (CV)1.213973486
Kurtosis46.48106098
Mean13588.18831
Median Absolute Deviation (MAD)5425
Skewness3.917927073
Sum2.436623057 × 1010
Variance272108129.4
MonotonicityNot monotonic
2023-05-09T20:16:16.637700image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 672
 
< 0.1%
1971 230
 
< 0.1%
2253 228
 
< 0.1%
2079 222
 
< 0.1%
2149 222
 
< 0.1%
2447 221
 
< 0.1%
2076 221
 
< 0.1%
2301 220
 
< 0.1%
2842 220
 
< 0.1%
2606 220
 
< 0.1%
Other values (84444) 1790516
96.2%
(Missing) 67572
 
3.6%
ValueCountFrequency (%)
0 672
< 0.1%
1 52
 
< 0.1%
2 46
 
< 0.1%
3 49
 
< 0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
958084 1
< 0.1%
800008 1
< 0.1%
752994 1
< 0.1%
710392 1
< 0.1%
646339 1
< 0.1%

bc_open_to_buy
Real number (ℝ)

MISSING  ZEROS 

Distinct85911
Distinct (%)4.8%
Missing67751
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean11065.92094
Minimum0
Maximum605996
Zeros27132
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:16.723358image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150
Q11631
median5196
Q313650
95-th percentile41942.4
Maximum605996
Range605996
Interquartile range (IQR)12019

Descriptive statistics

Standard deviation16354.2858
Coefficient of variation (CV)1.477896499
Kurtosis26.93787156
Mean11065.92094
Median Absolute Deviation (MAD)4377
Skewness3.7834525
Sum1.98413401 × 1010
Variance267462664.2
MonotonicityNot monotonic
2023-05-09T20:16:16.799692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27132
 
1.5%
500 1640
 
0.1%
2000 1593
 
0.1%
1000 1462
 
0.1%
3000 1325
 
0.1%
2500 1190
 
0.1%
5000 1178
 
0.1%
1500 1140
 
0.1%
4000 1017
 
0.1%
3500 972
 
0.1%
Other values (85901) 1754364
94.3%
(Missing) 67751
 
3.6%
ValueCountFrequency (%)
0 27132
1.5%
1 305
 
< 0.1%
2 301
 
< 0.1%
3 323
 
< 0.1%
4 336
 
< 0.1%
ValueCountFrequency (%)
605996 1
< 0.1%
559912 1
< 0.1%
506507 1
< 0.1%
497445 1
< 0.1%
469679 1
< 0.1%

bc_util
Real number (ℝ)

MISSING  ZEROS 

Distinct1475
Distinct (%)0.1%
Missing68766
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean58.15775654
Minimum0
Maximum339.6
Zeros23449
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:16.891355image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.4
Q135.6
median60.8
Q383.5
95-th percentile97.9
Maximum339.6
Range339.6
Interquartile range (IQR)47.9

Descriptive statistics

Standard deviation28.71160473
Coefficient of variation (CV)0.4936848744
Kurtosis-0.9929293714
Mean58.15775654
Median Absolute Deviation (MAD)23.8
Skewness-0.2870575498
Sum104218583.4
Variance824.3562464
MonotonicityNot monotonic
2023-05-09T20:16:16.966840image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23449
 
1.3%
98.0 4980
 
0.3%
97.0 4691
 
0.3%
99.0 4611
 
0.2%
96.0 4526
 
0.2%
95.0 4202
 
0.2%
94.0 3992
 
0.2%
93.0 3813
 
0.2%
92.0 3695
 
0.2%
91.0 3563
 
0.2%
Other values (1465) 1730476
93.0%
(Missing) 68766
 
3.7%
ValueCountFrequency (%)
0.0 23449
1.3%
0.1 1963
 
0.1%
0.2 1712
 
0.1%
0.3 1466
 
0.1%
0.4 1254
 
0.1%
ValueCountFrequency (%)
339.6 1
< 0.1%
318.2 1
< 0.1%
255.2 1
< 0.1%
252.3 1
< 0.1%
243.8 1
< 0.1%

chargeoff_within_12_mths
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing56
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.00882083594
Minimum0
Maximum10
Zeros1846057
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:17.042033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1079027639
Coefficient of variation (CV)12.23271407
Kurtosis622.0565764
Mean0.00882083594
Median Absolute Deviation (MAD)0
Skewness18.34613971
Sum16413
Variance0.01164300646
MonotonicityNot monotonic
2023-05-09T20:16:17.099598image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1846057
99.2%
1 13385
 
0.7%
2 987
 
0.1%
3 168
 
< 0.1%
4 64
 
< 0.1%
5 20
 
< 0.1%
6 12
 
< 0.1%
7 6
 
< 0.1%
9 6
 
< 0.1%
8 2
 
< 0.1%
(Missing) 56
 
< 0.1%
ValueCountFrequency (%)
0 1846057
99.2%
1 13385
 
0.7%
2 987
 
0.1%
3 168
 
< 0.1%
4 64
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 6
< 0.1%
8 2
 
< 0.1%
7 6
< 0.1%
6 12
< 0.1%

delinq_amnt
Real number (ℝ)

SKEWED  ZEROS 

Distinct2393
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.51357507
Minimum0
Maximum249925
Zeros1854345
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:17.165321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum249925
Range249925
Interquartile range (IQR)0

Descriptive statistics

Standard deviation756.8940889
Coefficient of variation (CV)56.00990744
Kurtosis14426.05171
Mean13.51357507
Median Absolute Deviation (MAD)0
Skewness96.64892152
Sum25145574
Variance572888.6618
MonotonicityNot monotonic
2023-05-09T20:16:17.249086image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1854345
99.7%
25 107
 
< 0.1%
65000 103
 
< 0.1%
30 80
 
< 0.1%
54 66
 
< 0.1%
53 65
 
< 0.1%
75 61
 
< 0.1%
50 58
 
< 0.1%
56 54
 
< 0.1%
57 46
 
< 0.1%
Other values (2383) 5779
 
0.3%
ValueCountFrequency (%)
0 1854345
99.7%
1 7
 
< 0.1%
2 8
 
< 0.1%
3 11
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
249925 1
< 0.1%
185408 1
< 0.1%
130778 1
< 0.1%
112524 1
< 0.1%
110626 1
< 0.1%

mo_sin_old_il_acct
Real number (ℝ)

Distinct553
Distinct (%)< 0.1%
Missing121143
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean125.5288704
Minimum0
Maximum999
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:17.325951image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q196
median129
Q3153
95-th percentile212
Maximum999
Range999
Interquartile range (IQR)57

Descriptive statistics

Standard deviation52.91249855
Coefficient of variation (CV)0.4215165675
Kurtosis1.872735224
Mean125.5288704
Median Absolute Deviation (MAD)27
Skewness0.3478108818
Sum218372659
Variance2799.732503
MonotonicityNot monotonic
2023-05-09T20:16:17.406448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127 20732
 
1.1%
128 20683
 
1.1%
130 20644
 
1.1%
126 20630
 
1.1%
125 20584
 
1.1%
129 20574
 
1.1%
132 20459
 
1.1%
122 20422
 
1.1%
124 20333
 
1.1%
133 20255
 
1.1%
Other values (543) 1534305
82.5%
(Missing) 121143
 
6.5%
ValueCountFrequency (%)
0 15
 
< 0.1%
1 440
 
< 0.1%
2 854
< 0.1%
3 1179
0.1%
4 1358
0.1%
ValueCountFrequency (%)
999 2
< 0.1%
822 1
< 0.1%
808 1
< 0.1%
724 1
< 0.1%
720 1
< 0.1%

mo_sin_old_rev_tl_op
Real number (ℝ)

Distinct776
Distinct (%)< 0.1%
Missing67528
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean180.629118
Minimum1
Maximum909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:17.482375image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50
Q1116
median163
Q3230
95-th percentile366
Maximum909
Range908
Interquartile range (IQR)114

Descriptive statistics

Standard deviation95.82350905
Coefficient of variation (CV)0.5304986822
Kurtosis1.436257728
Mean180.629118
Median Absolute Deviation (MAD)55
Skewness1.027813721
Sum323910637
Variance9182.144887
MonotonicityNot monotonic
2023-05-09T20:16:17.557646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 10273
 
0.6%
136 10220
 
0.5%
131 10086
 
0.5%
133 10051
 
0.5%
130 10021
 
0.5%
134 9980
 
0.5%
129 9955
 
0.5%
125 9944
 
0.5%
135 9943
 
0.5%
140 9912
 
0.5%
Other values (766) 1692851
91.0%
(Missing) 67528
 
3.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 4
 
< 0.1%
3 10
 
< 0.1%
4 15
< 0.1%
5 28
< 0.1%
ValueCountFrequency (%)
909 1
< 0.1%
902 1
< 0.1%
901 1
< 0.1%
852 1
< 0.1%
851 1
< 0.1%

mo_sin_rcnt_rev_tl_op
Real number (ℝ)

MISSING  ZEROS 

Distinct308
Distinct (%)< 0.1%
Missing67528
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean13.50308604
Minimum0
Maximum438
Zeros28167
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:17.644109image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q316
95-th percentile44
Maximum438
Range438
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.83620768
Coefficient of variation (CV)1.246841473
Kurtosis21.00809242
Mean13.50308604
Median Absolute Deviation (MAD)5
Skewness3.546393375
Sum24214220
Variance283.4578892
MonotonicityNot monotonic
2023-05-09T20:16:17.716834image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 142188
 
7.6%
3 136119
 
7.3%
4 123834
 
6.7%
1 116612
 
6.3%
5 111030
 
6.0%
6 98535
 
5.3%
7 90205
 
4.8%
8 80371
 
4.3%
9 71298
 
3.8%
10 64554
 
3.5%
Other values (298) 758490
40.8%
(Missing) 67528
 
3.6%
ValueCountFrequency (%)
0 28167
 
1.5%
1 116612
6.3%
2 142188
7.6%
3 136119
7.3%
4 123834
6.7%
ValueCountFrequency (%)
438 1
< 0.1%
404 1
< 0.1%
396 1
< 0.1%
382 1
< 0.1%
372 1
< 0.1%

mo_sin_rcnt_tl
Real number (ℝ)

MISSING  ZEROS 

Distinct212
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean7.989721939
Minimum0
Maximum382
Zeros29156
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:17.799093image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile23
Maximum382
Range382
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.850070414
Coefficient of variation (CV)1.107681905
Kurtosis42.93878079
Mean7.989721939
Median Absolute Deviation (MAD)3
Skewness4.526002537
Sum14327465
Variance78.32374633
MonotonicityNot monotonic
2023-05-09T20:16:17.877469image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 199311
10.7%
3 192514
10.3%
4 170141
 
9.1%
1 152946
 
8.2%
5 146761
 
7.9%
6 126646
 
6.8%
7 112564
 
6.0%
8 94910
 
5.1%
9 78877
 
4.2%
10 66782
 
3.6%
Other values (202) 451785
24.3%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 29156
 
1.6%
1 152946
8.2%
2 199311
10.7%
3 192514
10.3%
4 170141
9.1%
ValueCountFrequency (%)
382 1
< 0.1%
314 1
< 0.1%
290 1
< 0.1%
289 1
< 0.1%
283 1
< 0.1%

mort_acc
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)< 0.1%
Missing47281
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean1.606457298
Minimum0
Maximum61
Zeros748158
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:18.181129image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum61
Range61
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.945065847
Coefficient of variation (CV)1.210779676
Kurtosis5.693788831
Mean1.606457298
Median Absolute Deviation (MAD)1
Skewness1.665936959
Sum2913283
Variance3.783281149
MonotonicityNot monotonic
2023-05-09T20:16:18.252080image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 748158
40.2%
1 319796
17.2%
2 266619
 
14.3%
3 192011
 
10.3%
4 127371
 
6.8%
5 75172
 
4.0%
6 41415
 
2.2%
7 21063
 
1.1%
8 10419
 
0.6%
9 5277
 
0.3%
Other values (32) 6182
 
0.3%
(Missing) 47281
 
2.5%
ValueCountFrequency (%)
0 748158
40.2%
1 319796
17.2%
2 266619
 
14.3%
3 192011
 
10.3%
4 127371
 
6.8%
ValueCountFrequency (%)
61 1
< 0.1%
51 1
< 0.1%
47 1
< 0.1%
45 1
< 0.1%
37 2
< 0.1%

mths_since_recent_bc
Real number (ℝ)

Distinct517
Distinct (%)< 0.1%
Missing66456
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean24.14646538
Minimum0
Maximum656
Zeros11325
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:18.333646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median13
Q329
95-th percentile87
Maximum656
Range656
Interquartile range (IQR)23

Descriptive statistics

Standard deviation31.34415635
Coefficient of variation (CV)1.298084662
Kurtosis20.65386843
Mean24.14646538
Median Absolute Deviation (MAD)9
Skewness3.487864298
Sum43326196
Variance982.4561373
MonotonicityNot monotonic
2023-05-09T20:16:18.407452image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 88921
 
4.8%
2 87213
 
4.7%
4 84798
 
4.6%
5 79767
 
4.3%
6 74414
 
4.0%
7 70531
 
3.8%
8 65826
 
3.5%
9 61128
 
3.3%
1 59368
 
3.2%
10 57383
 
3.1%
Other values (507) 1064959
57.2%
(Missing) 66456
 
3.6%
ValueCountFrequency (%)
0 11325
 
0.6%
1 59368
3.2%
2 87213
4.7%
3 88921
4.8%
4 84798
4.6%
ValueCountFrequency (%)
656 1
< 0.1%
639 1
< 0.1%
616 1
< 0.1%
615 1
< 0.1%
612 1
< 0.1%

mths_since_recent_bc_dlq
Real number (ℝ)

Distinct176
Distinct (%)< 0.1%
Missing1424835
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean39.39710136
Minimum0
Maximum202
Zeros724
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:18.493179image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q121
median37
Q358
95-th percentile77
Maximum202
Range202
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.64389351
Coefficient of variation (CV)0.5747603943
Kurtosis-0.7039802001
Mean39.39710136
Median Absolute Deviation (MAD)18
Skewness0.3014496513
Sum17174339
Variance512.7459135
MonotonicityNot monotonic
2023-05-09T20:16:18.595594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 6725
 
0.4%
28 6631
 
0.4%
25 6583
 
0.4%
27 6538
 
0.4%
29 6537
 
0.4%
19 6537
 
0.4%
24 6525
 
0.4%
45 6507
 
0.3%
30 6505
 
0.3%
42 6493
 
0.3%
Other values (166) 370348
 
19.9%
(Missing) 1424835
76.6%
ValueCountFrequency (%)
0 724
 
< 0.1%
1 2358
0.1%
2 2570
0.1%
3 3501
0.2%
4 4059
0.2%
ValueCountFrequency (%)
202 1
< 0.1%
198 1
< 0.1%
195 1
< 0.1%
194 1
< 0.1%
191 1
< 0.1%

mths_since_recent_inq
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing231502
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean6.833538743
Minimum0
Maximum25
Zeros144935
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:18.673419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile19
Maximum25
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.886091783
Coefficient of variation (CV)0.861353393
Kurtosis0.08001444571
Mean6.833538743
Median Absolute Deviation (MAD)4
Skewness0.9345546326
Sum11133625
Variance34.64607648
MonotonicityNot monotonic
2023-05-09T20:16:18.739423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 182665
9.8%
2 147592
 
7.9%
0 144935
 
7.8%
3 133707
 
7.2%
4 121127
 
6.5%
5 107240
 
5.8%
6 95902
 
5.2%
7 90916
 
4.9%
8 79865
 
4.3%
9 69753
 
3.7%
Other values (16) 455560
24.5%
(Missing) 231502
12.4%
ValueCountFrequency (%)
0 144935
7.8%
1 182665
9.8%
2 147592
7.9%
3 133707
7.2%
4 121127
6.5%
ValueCountFrequency (%)
25 25
 
< 0.1%
24 7088
0.4%
23 14454
0.8%
22 15525
0.8%
21 17142
0.9%
Distinct176
Distinct (%)< 0.1%
Missing1242944
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean35.76925156
Minimum0
Maximum202
Zeros1202
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:18.819096image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median33
Q352
95-th percentile76
Maximum202
Range202
Interquartile range (IQR)35

Descriptive statistics

Standard deviation22.36557937
Coefficient of variation (CV)0.6252738986
Kurtosis-0.564524053
Mean35.76925156
Median Absolute Deviation (MAD)17
Skewness0.4750363461
Sum22098959
Variance500.2191407
MonotonicityNot monotonic
2023-05-09T20:16:18.896841image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 11227
 
0.6%
12 11186
 
0.6%
14 10822
 
0.6%
15 10688
 
0.6%
9 10510
 
0.6%
19 10399
 
0.6%
16 10376
 
0.6%
18 10353
 
0.6%
17 10265
 
0.6%
26 10162
 
0.5%
Other values (166) 511832
27.5%
(Missing) 1242944
66.8%
ValueCountFrequency (%)
0 1202
 
0.1%
1 4318
0.2%
2 5013
0.3%
3 6609
0.4%
4 7648
0.4%
ValueCountFrequency (%)
202 1
< 0.1%
197 1
< 0.1%
190 1
< 0.1%
188 1
< 0.1%
180 1
< 0.1%

num_accts_ever_120_pd
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean0.5096822116
Minimum0
Maximum51
Zeros1373922
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:18.978929image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.353400391
Coefficient of variation (CV)2.655380863
Kurtosis48.67560805
Mean0.5096822116
Median Absolute Deviation (MAD)0
Skewness5.267436571
Sum913981
Variance1.831692617
MonotonicityNot monotonic
2023-05-09T20:16:19.052594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 1373922
73.8%
1 224111
 
12.0%
2 88559
 
4.8%
3 40956
 
2.2%
4 24183
 
1.3%
5 14425
 
0.8%
6 9357
 
0.5%
7 5912
 
0.3%
8 3771
 
0.2%
9 2473
 
0.1%
Other values (33) 5568
 
0.3%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 1373922
73.8%
1 224111
 
12.0%
2 88559
 
4.8%
3 40956
 
2.2%
4 24183
 
1.3%
ValueCountFrequency (%)
51 1
< 0.1%
45 1
< 0.1%
42 1
< 0.1%
39 2
< 0.1%
38 1
< 0.1%

num_actv_bc_tl
Real number (ℝ)

MISSING  ZEROS 

Distinct38
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean3.634749339
Minimum0
Maximum50
Zeros41482
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:19.132035image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.284054619
Coefficient of variation (CV)0.6283939844
Kurtosis4.555388285
Mean3.634749339
Median Absolute Deviation (MAD)1
Skewness1.453178679
Sum6517967
Variance5.216905503
MonotonicityNot monotonic
2023-05-09T20:16:19.200234image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 379243
20.4%
2 366865
19.7%
4 293002
15.7%
1 212794
11.4%
5 195764
10.5%
6 122656
 
6.6%
7 72926
 
3.9%
8 43473
 
2.3%
0 41482
 
2.2%
9 25892
 
1.4%
Other values (28) 39140
 
2.1%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 41482
 
2.2%
1 212794
11.4%
2 366865
19.7%
3 379243
20.4%
4 293002
15.7%
ValueCountFrequency (%)
50 2
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%
35 1
< 0.1%

num_actv_rev_tl
Real number (ℝ)

Distinct57
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean5.593914803
Minimum0
Maximum72
Zeros9283
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:19.275286image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum72
Range72
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.337361084
Coefficient of variation (CV)0.5966056333
Kurtosis4.990278225
Mean5.593914803
Median Absolute Deviation (MAD)2
Skewness1.560594047
Sum10031215
Variance11.137979
MonotonicityNot monotonic
2023-05-09T20:16:19.355380image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 275036
14.8%
3 254214
13.7%
5 250154
13.4%
6 204381
11.0%
2 175064
9.4%
7 157110
8.4%
8 115347
6.2%
9 83287
 
4.5%
1 69485
 
3.7%
10 58544
 
3.1%
Other values (47) 150615
8.1%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 9283
 
0.5%
1 69485
 
3.7%
2 175064
9.4%
3 254214
13.7%
4 275036
14.8%
ValueCountFrequency (%)
72 1
< 0.1%
63 1
< 0.1%
60 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%

num_bc_sats
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)< 0.1%
Missing55841
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean4.751564471
Minimum0
Maximum63
Zeros19402
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:19.435977image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum63
Range63
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.006301021
Coefficient of variation (CV)0.6326970915
Kurtosis6.694474641
Mean4.751564471
Median Absolute Deviation (MAD)2
Skewness1.743292693
Sum8576208
Variance9.037845829
MonotonicityNot monotonic
2023-05-09T20:16:19.516086image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 313937
16.9%
4 296962
16.0%
2 250475
13.5%
5 238813
12.8%
6 176714
9.5%
7 123662
 
6.6%
1 120969
 
6.5%
8 84417
 
4.5%
9 56980
 
3.1%
10 38266
 
2.1%
Other values (48) 103728
 
5.6%
(Missing) 55841
 
3.0%
ValueCountFrequency (%)
0 19402
 
1.0%
1 120969
 
6.5%
2 250475
13.5%
3 313937
16.9%
4 296962
16.0%
ValueCountFrequency (%)
63 1
< 0.1%
61 1
< 0.1%
59 1
< 0.1%
57 1
< 0.1%
55 1
< 0.1%

num_bc_tl
Real number (ℝ)

Distinct71
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean7.877213664
Minimum0
Maximum89
Zeros4509
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:19.596509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q310
95-th percentile17
Maximum89
Range89
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.753406792
Coefficient of variation (CV)0.6034375852
Kurtosis3.748171578
Mean7.877213664
Median Absolute Deviation (MAD)3
Skewness1.40257735
Sum14125711
Variance22.59487613
MonotonicityNot monotonic
2023-05-09T20:16:19.676350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 185556
10.0%
6 181074
9.7%
4 176236
9.5%
7 167171
9.0%
8 149551
 
8.0%
3 143773
 
7.7%
9 127443
 
6.8%
10 106258
 
5.7%
2 92871
 
5.0%
11 87526
 
4.7%
Other values (61) 375778
20.2%
ValueCountFrequency (%)
0 4509
 
0.2%
1 36820
 
2.0%
2 92871
5.0%
3 143773
7.7%
4 176236
9.5%
ValueCountFrequency (%)
89 1
< 0.1%
85 1
< 0.1%
70 2
< 0.1%
68 1
< 0.1%
67 1
< 0.1%

num_il_tl
Real number (ℝ)

MISSING  ZEROS 

Distinct120
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean8.556453497
Minimum0
Maximum159
Zeros53736
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:19.753720image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q311
95-th percentile23
Maximum159
Range159
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.412515874
Coefficient of variation (CV)0.8663070367
Kurtosis7.669179977
Mean8.556453497
Median Absolute Deviation (MAD)4
Skewness2.076069703
Sum15343749
Variance54.94539158
MonotonicityNot monotonic
2023-05-09T20:16:19.833437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 153474
 
8.2%
3 152574
 
8.2%
5 146601
 
7.9%
2 137417
 
7.4%
6 135373
 
7.3%
7 121504
 
6.5%
8 106968
 
5.7%
1 105070
 
5.6%
9 92393
 
5.0%
10 80332
 
4.3%
Other values (110) 561531
30.2%
ValueCountFrequency (%)
0 53736
 
2.9%
1 105070
5.6%
2 137417
7.4%
3 152574
8.2%
4 153474
8.2%
ValueCountFrequency (%)
159 1
< 0.1%
150 1
< 0.1%
138 1
< 0.1%
132 1
< 0.1%
131 1
< 0.1%

num_op_rev_tl
Real number (ℝ)

Distinct78
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean8.249805798
Minimum0
Maximum83
Zeros859
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:19.915796image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile17
Maximum83
Range83
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.637617591
Coefficient of variation (CV)0.5621486983
Kurtosis4.584143697
Mean8.249805798
Median Absolute Deviation (MAD)3
Skewness1.508373784
Sum14793857
Variance21.50749692
MonotonicityNot monotonic
2023-05-09T20:16:19.992168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 194886
10.5%
5 189770
10.2%
7 184235
9.9%
8 164464
8.8%
4 164244
8.8%
9 140478
7.5%
3 117197
 
6.3%
10 116562
 
6.3%
11 94752
 
5.1%
12 76014
 
4.1%
Other values (68) 350635
18.8%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 859
 
< 0.1%
1 14427
 
0.8%
2 61116
 
3.3%
3 117197
6.3%
4 164244
8.8%
ValueCountFrequency (%)
83 1
< 0.1%
79 1
< 0.1%
78 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%

num_rev_accts
Real number (ℝ)

Distinct114
Distinct (%)< 0.1%
Missing67528
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean14.26241443
Minimum0
Maximum128
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.063560image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median13
Q318
95-th percentile30
Maximum128
Range128
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.098789256
Coefficient of variation (CV)0.5678413916
Kurtosis3.359010329
Mean14.26241443
Median Absolute Deviation (MAD)5
Skewness1.352745931
Sum25575875
Variance65.59038742
MonotonicityNot monotonic
2023-05-09T20:16:20.143771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 107525
 
5.8%
9 106139
 
5.7%
11 105479
 
5.7%
8 103260
 
5.5%
12 101378
 
5.4%
7 96915
 
5.2%
13 96285
 
5.2%
14 89183
 
4.8%
6 85942
 
4.6%
15 82840
 
4.5%
Other values (104) 818290
44.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 19
 
< 0.1%
2 15101
 
0.8%
3 33254
1.8%
4 53012
2.8%
ValueCountFrequency (%)
128 1
< 0.1%
127 1
< 0.1%
122 1
< 0.1%
121 1
< 0.1%
117 1
< 0.1%

num_rev_tl_bal_gt_0
Real number (ℝ)

Distinct51
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean5.542163139
Minimum0
Maximum65
Zeros9143
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.227728image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum65
Range65
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.249594357
Coefficient of variation (CV)0.5863404371
Kurtosis4.167361993
Mean5.542163139
Median Absolute Deviation (MAD)2
Skewness1.458805847
Sum9938412
Variance10.55986349
MonotonicityNot monotonic
2023-05-09T20:16:20.301531image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 277164
14.9%
3 255992
13.8%
5 252214
13.6%
6 205718
11.1%
2 175864
9.5%
7 157728
8.5%
8 115354
6.2%
9 82961
 
4.5%
1 69351
 
3.7%
10 57893
 
3.1%
Other values (41) 142998
7.7%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 9143
 
0.5%
1 69351
 
3.7%
2 175864
9.5%
3 255992
13.8%
4 277164
14.9%
ValueCountFrequency (%)
65 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%
55 1
< 0.1%
47 1
< 0.1%

num_sats
Real number (ℝ)

Distinct86
Distinct (%)< 0.1%
Missing55841
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean11.62911714
Minimum0
Maximum90
Zeros38
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.386508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum90
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.58092735
Coefficient of variation (CV)0.4799098058
Kurtosis3.39765454
Mean11.62911714
Median Absolute Deviation (MAD)3
Skewness1.312670436
Sum20989661
Variance31.14675008
MonotonicityNot monotonic
2023-05-09T20:16:20.460592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 158266
 
8.5%
10 153346
 
8.2%
8 152398
 
8.2%
11 141927
 
7.6%
7 137730
 
7.4%
12 127048
 
6.8%
6 115245
 
6.2%
13 110869
 
6.0%
14 95062
 
5.1%
5 84647
 
4.5%
Other values (76) 528385
28.4%
ValueCountFrequency (%)
0 38
 
< 0.1%
1 1099
 
0.1%
2 7385
 
0.4%
3 23375
1.3%
4 51801
2.8%
ValueCountFrequency (%)
90 1
< 0.1%
87 1
< 0.1%
85 1
< 0.1%
84 2
< 0.1%
82 2
< 0.1%

num_tl_120dpd_2m
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing135637
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean0.0007176283253
Minimum0
Maximum6
Zeros1723948
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.526597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02837645603
Coefficient of variation (CV)39.54199553
Kurtosis3294.741615
Mean0.0007176283253
Median Absolute Deviation (MAD)0
Skewness47.16139638
Sum1238
Variance0.0008052232568
MonotonicityNot monotonic
2023-05-09T20:16:20.576310image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1723948
92.6%
1 1130
 
0.1%
2 43
 
< 0.1%
3 4
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 135637
 
7.3%
ValueCountFrequency (%)
0 1723948
92.6%
1 1130
 
0.1%
2 43
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
< 0.1%
2 43
 
< 0.1%
1 1130
0.1%

num_tl_30dpd
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean0.003092173539
Minimum0
Maximum4
Zeros1788004
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.631614image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05904534787
Coefficient of variation (CV)19.09509513
Kurtosis581.2183374
Mean0.003092173539
Median Absolute Deviation (MAD)0
Skewness21.67442665
Sum5545
Variance0.003486353106
MonotonicityNot monotonic
2023-05-09T20:16:20.691014image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 1788004
96.1%
1 4964
 
0.3%
2 233
 
< 0.1%
3 29
 
< 0.1%
4 7
 
< 0.1%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 1788004
96.1%
1 4964
 
0.3%
2 233
 
< 0.1%
3 29
 
< 0.1%
4 7
 
< 0.1%
ValueCountFrequency (%)
4 7
 
< 0.1%
3 29
 
< 0.1%
2 233
 
< 0.1%
1 4964
 
0.3%
0 1788004
96.1%

num_tl_90g_dpd_24m
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean0.08598807631
Minimum0
Maximum42
Zeros1694150
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.756802image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.501559491
Coefficient of variation (CV)5.832895821
Kurtosis354.9502455
Mean0.08598807631
Median Absolute Deviation (MAD)0
Skewness13.89752367
Sum154197
Variance0.251561923
MonotonicityNot monotonic
2023-05-09T20:16:20.827923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 1694150
91.0%
1 74301
 
4.0%
2 14483
 
0.8%
3 4027
 
0.2%
4 2276
 
0.1%
5 1203
 
0.1%
6 872
 
< 0.1%
7 524
 
< 0.1%
8 409
 
< 0.1%
9 281
 
< 0.1%
Other values (22) 711
 
< 0.1%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 1694150
91.0%
1 74301
 
4.0%
2 14483
 
0.8%
3 4027
 
0.2%
4 2276
 
0.1%
ValueCountFrequency (%)
42 1
< 0.1%
39 1
< 0.1%
36 1
< 0.1%
30 2
< 0.1%
29 1
< 0.1%

num_tl_op_past_12m
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean2.153118634
Minimum0
Maximum32
Zeros315076
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:20.899730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.853250629
Coefficient of variation (CV)0.8607285262
Kurtosis4.648106682
Mean2.153118634
Median Absolute Deviation (MAD)1
Skewness1.486325675
Sum3861052
Variance3.434537892
MonotonicityNot monotonic
2023-05-09T20:16:20.959988image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 447460
24.0%
2 401182
21.6%
0 315076
16.9%
3 285162
15.3%
4 168601
 
9.1%
5 84621
 
4.5%
6 42015
 
2.3%
7 22726
 
1.2%
8 11634
 
0.6%
9 6444
 
0.3%
Other values (23) 8316
 
0.4%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 315076
16.9%
1 447460
24.0%
2 401182
21.6%
3 285162
15.3%
4 168601
 
9.1%
ValueCountFrequency (%)
32 1
 
< 0.1%
31 1
 
< 0.1%
30 2
< 0.1%
29 1
 
< 0.1%
28 4
< 0.1%

pct_tl_nvr_dlq
Real number (ℝ)

Distinct676
Distinct (%)< 0.1%
Missing67681
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean94.13214419
Minimum0
Maximum100
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:21.035964image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75
Q191.3
median98.5
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation8.914405693
Coefficient of variation (CV)0.09470097351
Kurtosis6.716653744
Mean94.13214419
Median Absolute Deviation (MAD)1.5
Skewness-2.251035041
Sum168786747.5
Variance79.46662886
MonotonicityNot monotonic
2023-05-09T20:16:21.117747image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 895510
48.1%
90.0 24579
 
1.3%
95.0 23820
 
1.3%
96.0 20992
 
1.1%
90.9 18678
 
1.0%
91.7 18613
 
1.0%
92.3 18300
 
1.0%
88.9 18080
 
1.0%
92.9 17926
 
1.0%
87.5 17815
 
1.0%
Other values (666) 718770
38.6%
(Missing) 67681
 
3.6%
ValueCountFrequency (%)
0.0 9
< 0.1%
5.0 1
 
< 0.1%
5.9 1
 
< 0.1%
6.7 1
 
< 0.1%
7.1 1
 
< 0.1%
ValueCountFrequency (%)
100.0 895510
48.1%
99.4 1
 
< 0.1%
99.3 1
 
< 0.1%
99.2 7
 
< 0.1%
99.1 10
 
< 0.1%

percent_bc_gt_75
Real number (ℝ)

MISSING  ZEROS 

Distinct265
Distinct (%)< 0.1%
Missing68191
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean43.01678216
Minimum0
Maximum100
Zeros478780
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:21.538873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q375
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)75

Descriptive statistics

Standard deviation36.18086596
Coefficient of variation (CV)0.8410872256
Kurtosis-1.264345127
Mean43.01678216
Median Absolute Deviation (MAD)35
Skewness0.285871217
Sum77110722.24
Variance1309.055062
MonotonicityNot monotonic
2023-05-09T20:16:21.630304image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 478780
25.7%
100.0 310362
16.7%
50.0 193490
10.4%
33.3 121941
 
6.6%
66.7 112986
 
6.1%
25.0 80439
 
4.3%
75.0 64254
 
3.5%
20.0 52929
 
2.8%
40.0 46069
 
2.5%
60.0 40138
 
2.2%
Other values (255) 291185
15.6%
(Missing) 68191
 
3.7%
ValueCountFrequency (%)
0.0 478780
25.7%
0.14 2
 
< 0.1%
0.17 1
 
< 0.1%
0.2 10
 
< 0.1%
0.25 19
 
< 0.1%
ValueCountFrequency (%)
100.0 310362
16.7%
95.8 1
 
< 0.1%
95.5 2
 
< 0.1%
95.0 4
 
< 0.1%
94.7 5
 
< 0.1%

pub_rec_bankruptcies
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing697
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1329134918
Minimum0
Maximum12
Zeros1629217
Zeros (%)87.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:21.693150image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3729502281
Coefficient of variation (CV)2.805962156
Kurtosis18.91392313
Mean0.1329134918
Median Absolute Deviation (MAD)0
Skewness3.372677474
Sum247228
Variance0.1390918727
MonotonicityNot monotonic
2023-05-09T20:16:21.750926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1629217
87.6%
1 218397
 
11.7%
2 9725
 
0.5%
3 1953
 
0.1%
4 505
 
< 0.1%
5 177
 
< 0.1%
6 58
 
< 0.1%
7 21
 
< 0.1%
8 9
 
< 0.1%
9 3
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 697
 
< 0.1%
ValueCountFrequency (%)
0 1629217
87.6%
1 218397
 
11.7%
2 9725
 
0.5%
3 1953
 
0.1%
4 505
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
9 3
 
< 0.1%
8 9
< 0.1%
7 21
< 0.1%

tax_liens
Real number (ℝ)

SKEWED  ZEROS 

Distinct41
Distinct (%)< 0.1%
Missing39
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.04968385979
Minimum0
Maximum85
Zeros1804142
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:21.826878image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3917672297
Coefficient of variation (CV)7.885201179
Kurtosis3595.687946
Mean0.04968385979
Median Absolute Deviation (MAD)0
Skewness33.06942152
Sum92448
Variance0.1534815623
MonotonicityNot monotonic
2023-05-09T20:16:21.896076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 1804142
97.0%
1 38282
 
2.1%
2 10607
 
0.6%
3 3894
 
0.2%
4 1755
 
0.1%
5 900
 
< 0.1%
6 484
 
< 0.1%
7 230
 
< 0.1%
8 127
 
< 0.1%
9 89
 
< 0.1%
Other values (31) 215
 
< 0.1%
ValueCountFrequency (%)
0 1804142
97.0%
1 38282
 
2.1%
2 10607
 
0.6%
3 3894
 
0.2%
4 1755
 
0.1%
ValueCountFrequency (%)
85 1
< 0.1%
63 1
< 0.1%
61 2
< 0.1%
53 1
< 0.1%
52 1
< 0.1%

tot_hi_cred_lim
Real number (ℝ)

Distinct492082
Distinct (%)27.4%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean177177.251
Minimum0
Maximum9999999
Zeros45
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:21.980426image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18900
Q150400
median114094
Q3256176
95-th percentile506470.2
Maximum9999999
Range9999999
Interquartile range (IQR)205776

Descriptive statistics

Standard deviation180529.7564
Coefficient of variation (CV)1.01892176
Kurtosis96.04083929
Mean177177.251
Median Absolute Deviation (MAD)78903
Skewness4.039018727
Sum3.17720802 × 1011
Variance3.259099293 × 1010
MonotonicityNot monotonic
2023-05-09T20:16:22.060619image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12500 580
 
< 0.1%
15500 576
 
< 0.1%
16500 575
 
< 0.1%
15000 570
 
< 0.1%
13500 555
 
< 0.1%
19000 555
 
< 0.1%
16000 548
 
< 0.1%
13000 548
 
< 0.1%
17500 546
 
< 0.1%
10000 546
 
< 0.1%
Other values (492072) 1787638
96.1%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 45
< 0.1%
200 8
 
< 0.1%
300 23
< 0.1%
400 2
 
< 0.1%
500 52
< 0.1%
ValueCountFrequency (%)
9999999 14
< 0.1%
9375662 1
 
< 0.1%
8700253 1
 
< 0.1%
8592561 1
 
< 0.1%
5915440 1
 
< 0.1%

total_bal_ex_mort
Real number (ℝ)

Distinct199183
Distinct (%)11.0%
Missing47281
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean50474.96238
Minimum0
Maximum3408095
Zeros1200
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:22.148444image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6637
Q120862
median37616
Q363621
95-th percentile136629.9
Maximum3408095
Range3408095
Interquartile range (IQR)42759

Descriptive statistics

Standard deviation49036.7398
Coefficient of variation (CV)0.9715062178
Kurtosis60.70223425
Mean50474.96238
Median Absolute Deviation (MAD)19662
Skewness4.14656316
Sum9.153548621 × 1010
Variance2404601850
MonotonicityNot monotonic
2023-05-09T20:16:22.229655image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1200
 
0.1%
25529 49
 
< 0.1%
34058 49
 
< 0.1%
19095 49
 
< 0.1%
16053 48
 
< 0.1%
28171 48
 
< 0.1%
23068 48
 
< 0.1%
20346 47
 
< 0.1%
21168 47
 
< 0.1%
20275 47
 
< 0.1%
Other values (199173) 1811851
97.4%
(Missing) 47281
 
2.5%
ValueCountFrequency (%)
0 1200
0.1%
1 20
 
< 0.1%
2 20
 
< 0.1%
3 25
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
3408095 1
< 0.1%
2921551 1
< 0.1%
2688920 1
< 0.1%
2644442 1
< 0.1%
1924200 1
< 0.1%

total_bc_limit
Real number (ℝ)

MISSING  ZEROS 

Distinct18844
Distinct (%)1.0%
Missing47281
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean22540.62774
Minimum0
Maximum1569000
Zeros20910
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:22.316581image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2300
Q18000
median15800
Q329400
95-th percentile65600
Maximum1569000
Range1569000
Interquartile range (IQR)21400

Descriptive statistics

Standard deviation22511.9967
Coefficient of variation (CV)0.998729803
Kurtosis36.1443242
Mean22540.62774
Median Absolute Deviation (MAD)9300
Skewness3.105835651
Sum4.087704521 × 1010
Variance506789995.4
MonotonicityNot monotonic
2023-05-09T20:16:22.399974image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20910
 
1.1%
5000 14348
 
0.8%
6000 12772
 
0.7%
10000 12192
 
0.7%
7000 12143
 
0.7%
4000 11845
 
0.6%
8000 11765
 
0.6%
3000 11676
 
0.6%
7500 11399
 
0.6%
9000 11046
 
0.6%
Other values (18834) 1683387
90.5%
(Missing) 47281
 
2.5%
ValueCountFrequency (%)
0 20910
1.1%
100 16
 
< 0.1%
200 219
 
< 0.1%
250 5
 
< 0.1%
251 1
 
< 0.1%
ValueCountFrequency (%)
1569000 1
< 0.1%
1105500 1
< 0.1%
1090700 1
< 0.1%
1058000 1
< 0.1%
760000 1
< 0.1%

total_il_high_credit_limit
Real number (ℝ)

MISSING  ZEROS 

Distinct182128
Distinct (%)10.2%
Missing67527
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean43203.16921
Minimum0
Maximum2101913
Zeros214223
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:22.484890image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115000
median32400
Q358052
95-th percentile123405
Maximum2101913
Range2101913
Interquartile range (IQR)43052

Descriptive statistics

Standard deviation44380.50065
Coefficient of variation (CV)1.027251043
Kurtosis27.61990287
Mean43203.16921
Median Absolute Deviation (MAD)20400
Skewness3.093542637
Sum7.747352155 × 1010
Variance1969628838
MonotonicityNot monotonic
2023-05-09T20:16:22.560547image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 214223
 
11.5%
10000 10724
 
0.6%
15000 8309
 
0.4%
20000 6744
 
0.4%
5000 6598
 
0.4%
12000 5202
 
0.3%
25000 5050
 
0.3%
6000 4428
 
0.2%
8000 4103
 
0.2%
7000 2773
 
0.1%
Other values (182118) 1525083
82.0%
(Missing) 67527
 
3.6%
ValueCountFrequency (%)
0 214223
11.5%
36 1
 
< 0.1%
49 1
 
< 0.1%
59 1
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
2101913 1
< 0.1%
2000000 1
< 0.1%
1736064 1
< 0.1%
1665437 1
< 0.1%
1650162 1
< 0.1%

revol_bal_joint
Real number (ℝ)

Distinct39392
Distinct (%)67.1%
Missing1802095
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean32795.1955
Minimum0
Maximum802982
Zeros73
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:22.646279image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4906.4
Q114349
median25451
Q342523
95-th percentile84998.8
Maximum802982
Range802982
Interquartile range (IQR)28174

Descriptive statistics

Standard deviation28390.19917
Coefficient of variation (CV)0.8656816566
Kurtosis23.31008643
Mean32795.1955
Median Absolute Deviation (MAD)13013
Skewness2.987603724
Sum1924061325
Variance806003409
MonotonicityNot monotonic
2023-05-09T20:16:22.729636image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73
 
< 0.1%
22157 8
 
< 0.1%
13053 8
 
< 0.1%
21280 7
 
< 0.1%
15105 7
 
< 0.1%
16111 7
 
< 0.1%
8263 7
 
< 0.1%
9004 7
 
< 0.1%
11549 7
 
< 0.1%
18440 7
 
< 0.1%
Other values (39382) 58531
 
3.1%
(Missing) 1802095
96.8%
ValueCountFrequency (%)
0 73
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
802982 1
< 0.1%
473339 1
< 0.1%
426860 1
< 0.1%
399139 1
< 0.1%
384404 1
< 0.1%

sec_app_fico_range_low
Real number (ℝ)

Distinct61
Distinct (%)0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean669.7322311
Minimum540
Maximum840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:22.809101image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum540
5-th percentile595
Q1645
median670
Q3695
95-th percentile750
Maximum840
Range300
Interquartile range (IQR)50

Descriptive statistics

Standard deviation45.46756517
Coefficient of variation (CV)0.06788916982
Kurtosis0.5815893412
Mean669.7322311
Median Absolute Deviation (MAD)25
Skewness0.1065683629
Sum39293190
Variance2067.299483
MonotonicityNot monotonic
2023-05-09T20:16:22.884187image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
670 3265
 
0.2%
665 3192
 
0.2%
660 3091
 
0.2%
675 3026
 
0.2%
680 2800
 
0.2%
655 2786
 
0.1%
650 2740
 
0.1%
690 2482
 
0.1%
685 2434
 
0.1%
645 2282
 
0.1%
Other values (51) 30572
 
1.6%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
540 167
< 0.1%
545 138
< 0.1%
550 159
< 0.1%
555 205
< 0.1%
560 206
< 0.1%
ValueCountFrequency (%)
840 4
 
< 0.1%
835 6
 
< 0.1%
830 19
< 0.1%
825 21
< 0.1%
820 30
< 0.1%

sec_app_fico_range_high
Real number (ℝ)

Distinct61
Distinct (%)0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean673.7322311
Minimum544
Maximum844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:22.967721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum544
5-th percentile599
Q1649
median674
Q3699
95-th percentile754
Maximum844
Range300
Interquartile range (IQR)50

Descriptive statistics

Standard deviation45.46756517
Coefficient of variation (CV)0.0674861066
Kurtosis0.5815893412
Mean673.7322311
Median Absolute Deviation (MAD)25
Skewness0.1065683629
Sum39527870
Variance2067.299483
MonotonicityNot monotonic
2023-05-09T20:16:23.041565image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
674 3265
 
0.2%
669 3192
 
0.2%
664 3091
 
0.2%
679 3026
 
0.2%
684 2800
 
0.2%
659 2786
 
0.1%
654 2740
 
0.1%
694 2482
 
0.1%
689 2434
 
0.1%
649 2282
 
0.1%
Other values (51) 30572
 
1.6%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
544 167
< 0.1%
549 138
< 0.1%
554 159
< 0.1%
559 205
< 0.1%
564 206
< 0.1%
ValueCountFrequency (%)
844 4
 
< 0.1%
839 6
 
< 0.1%
834 19
< 0.1%
829 21
< 0.1%
824 30
< 0.1%

sec_app_earliest_cr_line
Categorical

HIGH CARDINALITY  MISSING 

Distinct638
Distinct (%)1.1%
Missing1802094
Missing (%)96.8%
Memory size14.2 MiB
Aug-2006
 
553
Aug-2005
 
542
Sep-2005
 
501
Sep-2006
 
491
Mar-2006
 
472
Other values (633)
56111 

Unique

Unique49 ?
Unique (%)0.1%

Sample

1st rowMay-2008
2nd rowJun-2005
3rd rowAug-2002
4th rowJul-2011
5th rowNov-2004

Common Values

ValueCountFrequency (%)
Aug-2006 553
 
< 0.1%
Aug-2005 542
 
< 0.1%
Sep-2005 501
 
< 0.1%
Sep-2006 491
 
< 0.1%
Mar-2006 472
 
< 0.1%
Sep-2004 463
 
< 0.1%
Aug-2007 450
 
< 0.1%
Jul-2006 450
 
< 0.1%
Oct-2005 447
 
< 0.1%
Jun-2006 443
 
< 0.1%
Other values (628) 53858
 
2.9%
(Missing) 1802094
96.8%

sec_app_inq_last_6mths
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)< 0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean0.6971365263
Minimum0
Maximum6
Zeros33743
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.113487image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.043264757
Coefficient of variation (CV)1.496499921
Kurtosis4.316547881
Mean0.6971365263
Median Absolute Deviation (MAD)0
Skewness1.928539996
Sum40901
Variance1.088401352
MonotonicityNot monotonic
2023-05-09T20:16:23.163239image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 33743
 
1.8%
1 15258
 
0.8%
2 5798
 
0.3%
3 2262
 
0.1%
4 980
 
0.1%
5 433
 
< 0.1%
6 196
 
< 0.1%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 33743
1.8%
1 15258
0.8%
2 5798
 
0.3%
3 2262
 
0.1%
4 980
 
0.1%
ValueCountFrequency (%)
6 196
 
< 0.1%
5 433
 
< 0.1%
4 980
 
0.1%
3 2262
 
0.1%
2 5798
0.3%

sec_app_mort_acc
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean1.615936595
Minimum0
Maximum27
Zeros22120
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.227710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum27
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.814248619
Coefficient of variation (CV)1.122722652
Kurtosis3.153496845
Mean1.615936595
Median Absolute Deviation (MAD)1
Skewness1.403690897
Sum94807
Variance3.291498053
MonotonicityNot monotonic
2023-05-09T20:16:23.289406image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 22120
 
1.2%
1 11310
 
0.6%
2 9668
 
0.5%
3 6825
 
0.4%
4 4188
 
0.2%
5 2363
 
0.1%
6 1216
 
0.1%
7 511
 
< 0.1%
8 246
 
< 0.1%
9 120
 
< 0.1%
Other values (10) 103
 
< 0.1%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 22120
1.2%
1 11310
0.6%
2 9668
0.5%
3 6825
 
0.4%
4 4188
 
0.2%
ValueCountFrequency (%)
27 1
 
< 0.1%
18 2
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
15 5
< 0.1%

sec_app_open_acc
Real number (ℝ)

Distinct63
Distinct (%)0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean11.28704619
Minimum0
Maximum82
Zeros62
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.369192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q315
95-th percentile23
Maximum82
Range82
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.526584791
Coefficient of variation (CV)0.5782367398
Kurtosis2.590152449
Mean11.28704619
Median Absolute Deviation (MAD)4
Skewness1.195749002
Sum662211
Variance42.59630904
MonotonicityNot monotonic
2023-05-09T20:16:23.437842image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 4251
 
0.2%
9 4242
 
0.2%
7 4076
 
0.2%
10 3975
 
0.2%
6 3834
 
0.2%
11 3679
 
0.2%
12 3416
 
0.2%
5 3294
 
0.2%
13 3121
 
0.2%
4 2732
 
0.1%
Other values (53) 22050
 
1.2%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 62
 
< 0.1%
1 761
 
< 0.1%
2 1386
0.1%
3 2126
0.1%
4 2732
0.1%
ValueCountFrequency (%)
82 1
< 0.1%
66 1
< 0.1%
61 1
< 0.1%
59 1
< 0.1%
58 1
< 0.1%

sec_app_revol_util
Real number (ℝ)

Distinct1176
Distinct (%)2.0%
Missing1803076
Missing (%)96.9%
Infinite0
Infinite (%)0.0%
Mean56.16235266
Minimum0
Maximum434.3
Zeros776
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.513575image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.4
Q136.7
median58
Q377.4
95-th percentile95.7
Maximum434.3
Range434.3
Interquartile range (IQR)40.7

Descriptive statistics

Standard deviation26.47530971
Coefficient of variation (CV)0.4714067068
Kurtosis-0.01359461723
Mean56.16235266
Median Absolute Deviation (MAD)20.3
Skewness-0.1662574295
Sum3239893.8
Variance700.9420243
MonotonicityNot monotonic
2023-05-09T20:16:23.594371image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 776
 
< 0.1%
58.3 97
 
< 0.1%
60.2 91
 
< 0.1%
61.9 91
 
< 0.1%
57.9 90
 
< 0.1%
47.0 90
 
< 0.1%
64.9 90
 
< 0.1%
81.3 89
 
< 0.1%
81.8 89
 
< 0.1%
62.1 89
 
< 0.1%
Other values (1166) 56096
 
3.0%
(Missing) 1803076
96.9%
ValueCountFrequency (%)
0.0 776
< 0.1%
0.1 43
 
< 0.1%
0.2 35
 
< 0.1%
0.3 28
 
< 0.1%
0.4 26
 
< 0.1%
ValueCountFrequency (%)
434.3 1
< 0.1%
235.3 1
< 0.1%
212.6 1
< 0.1%
182.5 1
< 0.1%
165.2 1
< 0.1%

sec_app_open_act_il
Real number (ℝ)

Distinct39
Distinct (%)0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean2.973615136
Minimum0
Maximum46
Zeros7724
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.665643image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9
Maximum46
Range46
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.224706362
Coefficient of variation (CV)1.084439719
Kurtosis12.68511122
Mean2.973615136
Median Absolute Deviation (MAD)1
Skewness2.87895118
Sum174462
Variance10.39873112
MonotonicityNot monotonic
2023-05-09T20:16:23.736107image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 13052
 
0.7%
2 12759
 
0.7%
3 9138
 
0.5%
0 7724
 
0.4%
4 5485
 
0.3%
5 3119
 
0.2%
6 1910
 
0.1%
7 1299
 
0.1%
8 809
 
< 0.1%
9 676
 
< 0.1%
Other values (29) 2699
 
0.1%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 7724
0.4%
1 13052
0.7%
2 12759
0.7%
3 9138
0.5%
4 5485
0.3%
ValueCountFrequency (%)
46 1
< 0.1%
39 2
< 0.1%
38 1
< 0.1%
36 1
< 0.1%
35 1
< 0.1%

sec_app_num_rev_accts
Real number (ℝ)

Distinct78
Distinct (%)0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean12.58118289
Minimum0
Maximum97
Zeros281
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.812259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q317
95-th percentile28
Maximum97
Range97
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.218563268
Coefficient of variation (CV)0.6532424925
Kurtosis3.963395387
Mean12.58118289
Median Absolute Deviation (MAD)5
Skewness1.452251382
Sum738138
Variance67.54478218
MonotonicityNot monotonic
2023-05-09T20:16:23.896127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 3583
 
0.2%
7 3554
 
0.2%
9 3510
 
0.2%
10 3363
 
0.2%
6 3340
 
0.2%
11 3242
 
0.2%
5 3078
 
0.2%
12 3060
 
0.2%
13 2728
 
0.1%
4 2704
 
0.1%
Other values (68) 26508
 
1.4%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 281
 
< 0.1%
1 900
 
< 0.1%
2 1488
0.1%
3 2115
0.1%
4 2704
0.1%
ValueCountFrequency (%)
97 1
< 0.1%
96 1
< 0.1%
95 1
< 0.1%
92 1
< 0.1%
90 1
< 0.1%

sec_app_chargeoff_within_12_mths
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean0.04714504858
Minimum0
Maximum20
Zeros57076
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:23.960839image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4156838618
Coefficient of variation (CV)8.817126598
Kurtosis549.6020483
Mean0.04714504858
Median Absolute Deviation (MAD)0
Skewness19.1965159
Sum2766
Variance0.1727930729
MonotonicityNot monotonic
2023-05-09T20:16:24.019282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 57076
 
3.1%
1 1142
 
0.1%
2 225
 
< 0.1%
3 85
 
< 0.1%
4 47
 
< 0.1%
5 35
 
< 0.1%
6 13
 
< 0.1%
7 11
 
< 0.1%
10 9
 
< 0.1%
8 8
 
< 0.1%
Other values (9) 19
 
< 0.1%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 57076
3.1%
1 1142
 
0.1%
2 225
 
< 0.1%
3 85
 
< 0.1%
4 47
 
< 0.1%
ValueCountFrequency (%)
20 1
< 0.1%
18 1
< 0.1%
17 2
< 0.1%
16 1
< 0.1%
15 1
< 0.1%

sec_app_collections_12_mths_ex_med
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)< 0.1%
Missing1802094
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean0.08016021817
Minimum0
Maximum16
Zeros55186
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:24.082362image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4130597109
Coefficient of variation (CV)5.15292648
Kurtosis258.4009047
Mean0.08016021817
Median Absolute Deviation (MAD)0
Skewness11.91498405
Sum4703
Variance0.1706183247
MonotonicityNot monotonic
2023-05-09T20:16:24.145078image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 55186
 
3.0%
1 2817
 
0.2%
2 442
 
< 0.1%
3 120
 
< 0.1%
4 43
 
< 0.1%
5 18
 
< 0.1%
6 12
 
< 0.1%
8 10
 
< 0.1%
10 7
 
< 0.1%
11 5
 
< 0.1%
Other values (5) 10
 
< 0.1%
(Missing) 1802094
96.8%
ValueCountFrequency (%)
0 55186
3.0%
1 2817
 
0.2%
2 442
 
< 0.1%
3 120
 
< 0.1%
4 43
 
< 0.1%
ValueCountFrequency (%)
16 2
 
< 0.1%
15 1
 
< 0.1%
12 1
 
< 0.1%
11 5
< 0.1%
10 7
< 0.1%

hardship_flag
Categorical

Distinct2
Distinct (%)< 0.1%
Missing9407
Missing (%)0.5%
Memory size14.2 MiB
N
1849723 
Y
 
1634

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1849723
99.4%
Y 1634
 
0.1%
(Missing) 9407
 
0.5%

Common Values (Plot)

2023-05-09T20:16:24.214160image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

hardship_type
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing1848057
Missing (%)99.3%
Memory size14.2 MiB
INTEREST ONLY-3 MONTHS DEFERRAL
9706 
CVD19SKIP
1861 
ST0650PV01
1135 
DR02INTV01
 
4
CVD193MO
 
1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowINTEREST ONLY-3 MONTHS DEFERRAL
2nd rowINTEREST ONLY-3 MONTHS DEFERRAL
3rd rowINTEREST ONLY-3 MONTHS DEFERRAL
4th rowINTEREST ONLY-3 MONTHS DEFERRAL
5th rowINTEREST ONLY-3 MONTHS DEFERRAL

Common Values

ValueCountFrequency (%)
INTEREST ONLY-3 MONTHS DEFERRAL 9706
 
0.5%
CVD19SKIP 1861
 
0.1%
ST0650PV01 1135
 
0.1%
DR02INTV01 4
 
< 0.1%
CVD193MO 1
 
< 0.1%
(Missing) 1848057
99.3%

Common Values (Plot)

2023-05-09T20:16:24.279808image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

hardship_reason
Categorical

Distinct17
Distinct (%)0.1%
Missing1848056
Missing (%)99.3%
Memory size14.2 MiB
NATURAL_DISASTER
2369 
UNEMPLOYMENT
1905 
EXCESSIVE_OBLIGATIONS
1902 
INCOMECURT
1779 
MEDICAL
1366 
Other values (12)
3387 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINCOME_CURTAILMENT
2nd rowMEDICAL
3rd rowNATURAL_DISASTER
4th rowNATURAL_DISASTER
5th rowINCOME_CURTAILMENT

Common Values

ValueCountFrequency (%)
NATURAL_DISASTER 2369
 
0.1%
UNEMPLOYMENT 1905
 
0.1%
EXCESSIVE_OBLIGATIONS 1902
 
0.1%
INCOMECURT 1779
 
0.1%
MEDICAL 1366
 
0.1%
INCOME_CURTAILMENT 1181
 
0.1%
REDUCED_HOURS 623
 
< 0.1%
UNEMPLOYED 375
 
< 0.1%
DIVORCE 249
 
< 0.1%
EXCESSOBLI 213
 
< 0.1%
Other values (7) 746
 
< 0.1%
(Missing) 1848056
99.3%

hardship_status
Categorical

Distinct4
Distinct (%)< 0.1%
Missing1848057
Missing (%)99.3%
Memory size14.2 MiB
COMPLETED
6870 
BROKEN
3013 
ACTIVE
1635 
COMPLETE
1189 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCOMPLETED
2nd rowCOMPLETED
3rd rowCOMPLETED
4th rowCOMPLETED
5th rowCOMPLETED

Common Values

ValueCountFrequency (%)
COMPLETED 6870
 
0.4%
BROKEN 3013
 
0.2%
ACTIVE 1635
 
0.1%
COMPLETE 1189
 
0.1%
(Missing) 1848057
99.3%

Common Values (Plot)

2023-05-09T20:16:24.345673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

deferral_term
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1848057
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.852994413
Minimum0
Maximum4
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:24.400743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3572233153
Coefficient of variation (CV)0.1252099597
Kurtosis2.798332872
Mean2.852994413
Median Absolute Deviation (MAD)0
Skewness-2.045505705
Sum36253
Variance0.127608497
MonotonicityNot monotonic
2023-05-09T20:16:24.457428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 10835
 
0.6%
2 1864
 
0.1%
4 5
 
< 0.1%
0 3
 
< 0.1%
(Missing) 1848057
99.3%
ValueCountFrequency (%)
0 3
 
< 0.1%
2 1864
 
0.1%
3 10835
0.6%
4 5
 
< 0.1%
ValueCountFrequency (%)
4 5
 
< 0.1%
3 10835
0.6%
2 1864
 
0.1%
0 3
 
< 0.1%

hardship_amount
Real number (ℝ)

Distinct13871
Distinct (%)62.7%
Missing1838650
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean289.7746057
Minimum0
Maximum2797.5
Zeros2070
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:24.529648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171.8425
median204.045
Q3410.975
95-th percentile893.54
Maximum2797.5
Range2797.5
Interquartile range (IQR)339.1325

Descriptive statistics

Standard deviation285.920451
Coefficient of variation (CV)0.9866994739
Kurtosis2.135875847
Mean289.7746057
Median Absolute Deviation (MAD)152.445
Skewness1.447816815
Sum6408075.63
Variance81750.50429
MonotonicityNot monotonic
2023-05-09T20:16:24.599828image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2070
 
0.1%
311.34 16
 
< 0.1%
326.97 16
 
< 0.1%
332.1 15
 
< 0.1%
634.23 15
 
< 0.1%
352.27 14
 
< 0.1%
320.05 14
 
< 0.1%
309.74 14
 
< 0.1%
346.9 13
 
< 0.1%
339.79 13
 
< 0.1%
Other values (13861) 19914
 
1.1%
(Missing) 1838650
98.8%
ValueCountFrequency (%)
0.0 2070
0.1%
0.13 2
 
< 0.1%
0.16 2
 
< 0.1%
0.51 1
 
< 0.1%
0.52 1
 
< 0.1%
ValueCountFrequency (%)
2797.5 1
 
< 0.1%
2000.0 3
< 0.1%
1793.18 1
 
< 0.1%
1537.99 1
 
< 0.1%
1501.0 1
 
< 0.1%
Distinct45
Distinct (%)0.4%
Missing1848057
Missing (%)99.3%
Memory size14.2 MiB
Sep-2017
2159 
Apr-2020
1817 
Oct-2017
992 
Nov-2017
 
432
Oct-2018
 
420
Other values (40)
6887 

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowMay-2017
2nd rowJun-2017
3rd rowSep-2017
4th rowSep-2017
5th rowSep-2017

Common Values

ValueCountFrequency (%)
Sep-2017 2159
 
0.1%
Apr-2020 1817
 
0.1%
Oct-2017 992
 
0.1%
Nov-2017 432
 
< 0.1%
Oct-2018 420
 
< 0.1%
Aug-2018 391
 
< 0.1%
Jun-2017 384
 
< 0.1%
May-2017 361
 
< 0.1%
Sep-2018 359
 
< 0.1%
Aug-2017 343
 
< 0.1%
Other values (35) 5049
 
0.3%
(Missing) 1848057
99.3%
Distinct45
Distinct (%)0.4%
Missing1848057
Missing (%)99.3%
Memory size14.2 MiB
Dec-2017
1539 
Jun-2020
1354 
Nov-2017
1223 
Jan-2018
 
685
Dec-2018
 
408
Other values (40)
7498 

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowAug-2017
2nd rowSep-2017
3rd rowDec-2017
4th rowNov-2017
5th rowDec-2017

Common Values

ValueCountFrequency (%)
Dec-2017 1539
 
0.1%
Jun-2020 1354
 
0.1%
Nov-2017 1223
 
0.1%
Jan-2018 685
 
< 0.1%
Dec-2018 408
 
< 0.1%
Oct-2017 380
 
< 0.1%
Aug-2017 375
 
< 0.1%
Feb-2018 368
 
< 0.1%
Jan-2019 354
 
< 0.1%
Nov-2018 349
 
< 0.1%
Other values (35) 5672
 
0.3%
(Missing) 1848057
99.3%
Distinct44
Distinct (%)0.3%
Missing1848057
Missing (%)99.3%
Memory size14.2 MiB
Sep-2017
1530 
Oct-2017
1460 
Apr-2020
1343 
Nov-2017
 
596
Aug-2018
 
392
Other values (39)
7386 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowMay-2017
2nd rowJul-2017
3rd rowOct-2017
4th rowSep-2017
5th rowOct-2017

Common Values

ValueCountFrequency (%)
Sep-2017 1530
 
0.1%
Oct-2017 1460
 
0.1%
Apr-2020 1343
 
0.1%
Nov-2017 596
 
< 0.1%
Aug-2018 392
 
< 0.1%
Oct-2018 391
 
< 0.1%
Dec-2017 384
 
< 0.1%
Jun-2017 377
 
< 0.1%
Nov-2018 360
 
< 0.1%
Sep-2018 358
 
< 0.1%
Other values (34) 5516
 
0.3%
(Missing) 1848057
99.3%

hardship_length
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1848057
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean2.852994413
Minimum0
Maximum4
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:24.668485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q33
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3572233153
Coefficient of variation (CV)0.1252099597
Kurtosis2.798332872
Mean2.852994413
Median Absolute Deviation (MAD)0
Skewness-2.045505705
Sum36253
Variance0.127608497
MonotonicityNot monotonic
2023-05-09T20:16:24.719749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 10835
 
0.6%
2 1864
 
0.1%
4 5
 
< 0.1%
0 3
 
< 0.1%
(Missing) 1848057
99.3%
ValueCountFrequency (%)
0 3
 
< 0.1%
2 1864
 
0.1%
3 10835
0.6%
4 5
 
< 0.1%
ValueCountFrequency (%)
4 5
 
< 0.1%
3 10835
0.6%
2 1864
 
0.1%
0 3
 
< 0.1%

hardship_dpd
Real number (ℝ)

Distinct37
Distinct (%)0.3%
Missing1848057
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean12.28157708
Minimum0
Maximum38
Zeros3647
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:24.789477image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q321
95-th percentile28
Maximum38
Range38
Interquartile range (IQR)21

Descriptive statistics

Standard deviation9.983949488
Coefficient of variation (CV)0.8129208016
Kurtosis-1.40900872
Mean12.28157708
Median Absolute Deviation (MAD)10
Skewness0.07260593275
Sum156062
Variance99.67924738
MonotonicityNot monotonic
2023-05-09T20:16:24.858615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 3647
 
0.2%
26 445
 
< 0.1%
25 445
 
< 0.1%
23 423
 
< 0.1%
11 410
 
< 0.1%
16 408
 
< 0.1%
20 397
 
< 0.1%
22 389
 
< 0.1%
17 380
 
< 0.1%
28 377
 
< 0.1%
Other values (27) 5386
 
0.3%
(Missing) 1848057
99.3%
ValueCountFrequency (%)
0 3647
0.2%
1 86
 
< 0.1%
2 79
 
< 0.1%
3 130
 
< 0.1%
4 103
 
< 0.1%
ValueCountFrequency (%)
38 1
 
< 0.1%
37 1
 
< 0.1%
34 1
 
< 0.1%
33 4
< 0.1%
32 6
< 0.1%
Distinct10
Distinct (%)0.1%
Missing1848068
Missing (%)99.3%
Memory size14.2 MiB
Late (16-30 days)
4371 
In Grace Period
2632 
Current
2271 
ACTIVE
1579 
GRACE_CURRENT
573 
Other values (5)
1270 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLate (31-120 days)
2nd rowCurrent
3rd rowIn Grace Period
4th rowCurrent
5th rowCurrent

Common Values

ValueCountFrequency (%)
Late (16-30 days) 4371
 
0.2%
In Grace Period 2632
 
0.1%
Current 2271
 
0.1%
ACTIVE 1579
 
0.1%
GRACE_CURRENT 573
 
< 0.1%
DELINQUENT 481
 
< 0.1%
Late (31-120 days) 419
 
< 0.1%
CURRENT 246
 
< 0.1%
INCOLLECTION 111
 
< 0.1%
Issued 13
 
< 0.1%
(Missing) 1848068
99.3%

Common Values (Plot)

2023-05-09T20:16:24.943760image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Distinct7749
Distinct (%)40.2%
Missing1841486
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean175.7174051
Minimum0
Maximum3466.9
Zeros10512
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:25.036845image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3241.0225
95-th percentile840.2835
Maximum3466.9
Range3466.9
Interquartile range (IQR)241.0225

Descriptive statistics

Standard deviation307.7193062
Coefficient of variation (CV)1.751216995
Kurtosis8.057675296
Mean175.7174051
Median Absolute Deviation (MAD)0
Skewness2.515918786
Sum3387480.135
Variance94691.17138
MonotonicityNot monotonic
2023-05-09T20:16:25.112429image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10512
 
0.6%
209.7 4
 
< 0.1%
186.9 4
 
< 0.1%
154.77 4
 
< 0.1%
137.07 4
 
< 0.1%
396.99 4
 
< 0.1%
40.2 4
 
< 0.1%
449.13 4
 
< 0.1%
237.78 4
 
< 0.1%
174.0 4
 
< 0.1%
Other values (7739) 8730
 
0.5%
(Missing) 1841486
99.0%
ValueCountFrequency (%)
0.0 10512
0.6%
0.03 1
 
< 0.1%
0.1 1
 
< 0.1%
0.16 1
 
< 0.1%
0.29 1
 
< 0.1%
ValueCountFrequency (%)
3466.9 1
< 0.1%
2679.15 1
< 0.1%
2513.04 1
< 0.1%
2486.94 1
< 0.1%
2423.88 1
< 0.1%
Distinct11596
Distinct (%)52.4%
Missing1838650
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean5776.863386
Minimum0
Maximum42135.55
Zeros10488
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:25.198308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1400.6
Q39683.7975
95-th percentile22896.8295
Maximum42135.55
Range42135.55
Interquartile range (IQR)9683.7975

Descriptive statistics

Standard deviation7920.627297
Coefficient of variation (CV)1.371094791
Kurtosis1.51267513
Mean5776.863386
Median Absolute Deviation (MAD)1400.6
Skewness1.464412173
Sum127749556.9
Variance62736336.78
MonotonicityNot monotonic
2023-05-09T20:16:25.272646image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10488
 
0.6%
2825.0 2
 
< 0.1%
6907.74 2
 
< 0.1%
1260.64 2
 
< 0.1%
8552.54 2
 
< 0.1%
6659.91 2
 
< 0.1%
10084.98 2
 
< 0.1%
4335.58 2
 
< 0.1%
5262.81 2
 
< 0.1%
10797.54 2
 
< 0.1%
Other values (11586) 11608
 
0.6%
(Missing) 1838650
98.8%
ValueCountFrequency (%)
0.0 10488
0.6%
0.01 2
 
< 0.1%
0.02 2
 
< 0.1%
0.06 1
 
< 0.1%
0.14 1
 
< 0.1%
ValueCountFrequency (%)
42135.55 1
< 0.1%
40306.41 1
< 0.1%
39746.94 1
< 0.1%
39542.45 1
< 0.1%
39375.38 1
< 0.1%
Distinct18226
Distinct (%)82.4%
Missing1838650
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2227.850193
Minimum0
Maximum40270.98
Zeros44
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:25.743234image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9165
Q1100
median316.975
Q3927.29
95-th percentile13658.3925
Maximum40270.98
Range40270.98
Interquartile range (IQR)827.29

Descriptive statistics

Standard deviation5224.773951
Coefficient of variation (CV)2.345208833
Kurtosis13.77638836
Mean2227.850193
Median Absolute Deviation (MAD)264.345
Skewness3.525899772
Sum49266679.17
Variance27298262.83
MonotonicityNot monotonic
2023-05-09T20:16:25.828600image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 68
 
< 0.1%
0.0 44
 
< 0.1%
100.0 38
 
< 0.1%
0.02 25
 
< 0.1%
0.11 22
 
< 0.1%
0.05 22
 
< 0.1%
200.0 20
 
< 0.1%
0.01 19
 
< 0.1%
0.03 19
 
< 0.1%
0.07 18
 
< 0.1%
Other values (18216) 21819
 
1.2%
(Missing) 1838650
98.8%
ValueCountFrequency (%)
0.0 44
< 0.1%
0.01 19
< 0.1%
0.02 25
< 0.1%
0.03 19
< 0.1%
0.04 16
 
< 0.1%
ValueCountFrequency (%)
40270.98 1
< 0.1%
39920.05 1
< 0.1%
39812.17 1
< 0.1%
39594.78 1
< 0.1%
39476.34 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size14.2 MiB
N
1809589 
Y
 
51175

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 1809589
97.2%
Y 51175
 
2.8%

Common Values (Plot)

2023-05-09T20:16:25.904153image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

target
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07187907763
Minimum0
Maximum1
Zeros1727014
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size14.2 MiB
2023-05-09T20:16:25.950283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.258287653
Coefficient of variation (CV)3.593363486
Kurtosis8.989727397
Mean0.07187907763
Median Absolute Deviation (MAD)0
Skewness3.315074318
Sum133750
Variance0.06671251168
MonotonicityNot monotonic
2023-05-09T20:16:26.008445image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 1727014
92.8%
1 133750
 
7.2%
ValueCountFrequency (%)
0 1727014
92.8%
1 133750
 
7.2%
ValueCountFrequency (%)
1 133750
 
7.2%
0 1727014
92.8%

fico_average
Real number (ℝ)

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean699.6776974
Minimum627
Maximum847.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.0 MiB
2023-05-09T20:16:26.072300image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum627
5-th percentile662
Q1672
median692
Q3717
95-th percentile767
Maximum847.5
Range220.5
Interquartile range (IQR)45

Descriptive statistics

Standard deviation32.70799007
Coefficient of variation (CV)0.04674722403
Kurtosis1.420076709
Mean699.6776974
Median Absolute Deviation (MAD)20
Skewness1.229140989
Sum1301935071
Variance1069.812615
MonotonicityNot monotonic
2023-05-09T20:16:26.145598image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
662.0 159813
 
8.6%
672.0 155307
 
8.3%
667.0 154535
 
8.3%
682.0 139401
 
7.5%
677.0 139255
 
7.5%
687.0 123082
 
6.6%
692.0 119794
 
6.4%
697.0 107931
 
5.8%
702.0 101000
 
5.4%
707.0 91530
 
4.9%
Other values (30) 569116
30.6%
ValueCountFrequency (%)
627.0 1
 
< 0.1%
632.0 1
 
< 0.1%
662.0 159813
8.6%
667.0 154535
8.3%
672.0 155307
8.3%
ValueCountFrequency (%)
847.5 306
 
< 0.1%
842.0 402
 
< 0.1%
837.0 638
 
< 0.1%
832.0 1092
0.1%
827.0 1649
0.1%